{"id":"W4401499316","doi":"10.1177/00236772231217777","title":"Causal mediation analysis: How to avoid fooling yourself that <i>X</i> causes <i>Y</i>","year":2024,"lang":"en","type":"article","venue":"Laboratory Animals","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prioris.ai (Canada)","funders":"","keywords":"Mediation; Causal inference; Outcome (game theory); Mechanism (biology); Causal analysis; Causal model; Psychology; Intervention (counseling); Statistical analysis; Computer science; Cognitive psychology; Medicine; Econometrics; Risk analysis (engineering); Statistics; Epistemology; Mathematics; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008340427,0.0003298253,0.0005049345,0.0004661649,0.0001222486,0.000317183,0.000279035,0.000183902,0.0001205021],"category_scores_gemma":[0.0007462846,0.0003074899,0.000141827,0.002311989,0.00005345374,0.0006069244,0.00009530884,0.000319875,0.00009045281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448764,"about_ca_system_score_gemma":0.0001453058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006322785,"about_ca_topic_score_gemma":0.0001443688,"domain_scores_codex":[0.9979875,0.0001633043,0.0003399944,0.000568458,0.0004914648,0.0004492495],"domain_scores_gemma":[0.9981866,0.0006626202,0.0001318007,0.0005296916,0.0002764362,0.0002128591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001143374,0.0002418023,0.01035278,0.001169189,0.00266932,0.0005800013,0.006944142,0.0002901501,0.4343777,0.4544424,0.08746005,0.001358121],"study_design_scores_gemma":[0.0003290656,0.0005512643,0.001500049,0.000596629,0.002377591,0.00001589562,0.002430313,0.001008434,0.7442959,0.1535087,0.0913198,0.002066395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6478105,0.003840524,0.332886,0.003784493,0.0008763565,0.001358384,0.0008825677,0.006457609,0.002103573],"genre_scores_gemma":[0.9727822,0.00008473054,0.02568442,0.0006084559,0.0003440389,0.0001537844,0.0000196719,0.00007915577,0.0002435569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3249717,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042222886772705,"score_gpt":0.3861531258761427,"score_spread":0.2819308371988721,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}