{"id":"W2469842794","doi":"10.1097/ede.0000000000000521","title":"Sufficient Cause Representation of the Four-way Decomposition for Mediation and Interaction","year":2016,"lang":"en","type":"letter","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases","keywords":"Outcome (game theory); Counterfactual thinking; Mediation; Context (archaeology); Set (abstract data type); Consistency (knowledge bases); Representation (politics); Computer science; Decomposition; Component (thermodynamics); Psychology; Social psychology; Mathematics; Chemistry; Sociology; Physics; Political science; Artificial intelligence; History; Mathematical economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0160809,0.001432716,0.001363485,0.001050223,0.002082949,0.003085434,0.00385843,0.006069857,0.02071952],"category_scores_gemma":[0.06515121,0.0007484494,0.002143083,0.001034012,0.00446063,0.004556877,0.002309102,0.009881096,0.003296003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895258,"about_ca_system_score_gemma":0.004344003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111566,"about_ca_topic_score_gemma":0.003011884,"domain_scores_codex":[0.9916334,0.004915398,0.0005870139,0.001266442,0.001221377,0.0003762631],"domain_scores_gemma":[0.9654773,0.02651047,0.001643958,0.001928621,0.003832354,0.0006070932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002470878,0.00008254137,0.00195044,0.0007054406,0.0002289781,0.001296334,0.0008484054,0.002620935,0.0002209781,0.5998208,0.3498279,0.04215013],"study_design_scores_gemma":[0.0001369717,0.00007324705,0.001136134,0.0003635223,0.0002164984,0.0009024999,0.00015795,0.0173874,0.0003609326,0.7386493,0.2405489,0.00006679888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.007539199,0.008851064,0.3708228,0.4657852,0.1222811,0.0002271235,0.001969553,0.000645947,0.02187808],"genre_scores_gemma":[0.3507291,0.01092215,0.2234289,0.1521928,0.2072945,0.001951246,0.0016745,0.001000399,0.05080639],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02071952,"threshold_uncertainty_score":0.08504492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3480214246112638,"score_gpt":0.5045439834955416,"score_spread":0.1565225588842778,"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."}}