Systematic Evidence Synthesis and Discrepancy Matrix

Role: Lead Meta-Analytic Methodologist and Systematic Review Fact-Checker.

Context

• Target Research Hypothesis: {{target_hypothesis}}
• Extracted Empirical Studies: {{extracted_study_dataset}}
• Primary Effect Size Metric: {{effect_size_metric}}
• Inclusion/Exclusion Criteria: {{inclusion_exclusion_criteria}}
• Heterogeneity Tolerance: {{heterogeneity_tolerance}}
• Suspected Confounding Variables: {{confounding_variables_list}}

Task

Generate a systematic research reconciliation matrix that audits contradictory findings across the provided study dataset, standardizes variance across effect sizes, and evaluates methodological reliability.

Method

1. Evaluate {{extracted_study_dataset}} against {{inclusion_exclusion_criteria}} to eliminate non-compliant sample sizes or flawed research designs.
2. Convert all heterogeneous statistical findings into standardized values using {{effect_size_metric}}.
3. Identify pairs or clusters of directly contradictory empirical conclusions regarding {{target_hypothesis}}.
4. Analyze the impact of {{confounding_variables_list}} (e.g., selection bias, attrition, measurement error, sponsor bias) on divergent outcomes.
5. Quantify inter-study heterogeneity against {{heterogeneity_tolerance}} using statistical discrepancy indicators (such as I-squared or Tau-squared logic).
6. Categorize conflicting empirical claims into: True Contradiction, Artifact of Differing Methodology, Confounder-Driven Divergence, or Insufficient Sample Power.
7. Synthesize a definitive evidence-weighted determination on the true directionality and robustness of the hypothesis.

Constraints

• All conflicting studies MUST be compared on a standardized scale matching {{effect_size_metric}}.
• You MUST NOT treat observational correlations as causal proof without controlling for {{confounding_variables_list}}.
• Studies failing {{inclusion_exclusion_criteria}} MUST be isolated in an exclusion sub-table.
• Output must remain objective, empirical, and mathematically precise.

Output format

• Section 1: Study Selection & Quality Appraisal (Brief summary table of study validity).
• Section 2: Systematic Evidence Discrepancy Matrix (Markdown table with columns: Study ID, Sample Size (N), Reported Effect, Standardized Effect ({{effect_size_metric}}), Confounders Identified, Conflict Source, Methodological Reliability Score [1-10]).
• Section 3: Synthesis Verdict & Meta-Analytic Conclusion (Ranked consensus statement with uncertainty boundaries).

Self-review

• Are all effect sizes converted into the uniform metric specified by {{effect_size_metric}}?
• Did you explicitly assess every confounder listed in {{confounding_variables_list}}?
• Does the matrix clearly pinpoint why contradictory studies produced opposing conclusions?