{"id":"W4319457455","doi":"10.1016/b978-0-44-318780-3.00012-9","title":"Effect Modification in Cohort Studies","year":2023,"lang":"en","type":"book-chapter","venue":"Epidemiologic Methods","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Multivariate statistics; Context (archaeology); Cohort; Measure (data warehouse); Property (philosophy); Symmetry (geometry); Multivariate analysis; Mathematics; Econometrics; Psychology; Statistics; Computer science; Geography; Data mining; Geometry; Epistemology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006568896,0.0009327173,0.001246272,0.001212139,0.0002869359,0.001165547,0.001241266,0.001113492,0.01410146],"category_scores_gemma":[0.01947366,0.0007441002,0.0008232912,0.001716379,0.001556738,0.001647193,0.0008471354,0.002796896,0.00321439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006489333,"about_ca_system_score_gemma":0.0009760481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142632,"about_ca_topic_score_gemma":0.001828713,"domain_scores_codex":[0.9971758,0.001972549,0.00009021455,0.000276082,0.0004493112,0.00003600553],"domain_scores_gemma":[0.9870003,0.01192737,0.0001490175,0.0006457968,0.0002302646,0.00004727177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002102759,0.000039955,0.0004097827,0.0007988923,0.0001440666,0.00007565961,0.0001989407,0.002995992,0.0001749472,0.6792973,0.07451349,0.24133],"study_design_scores_gemma":[0.00001012523,0.00001280993,0.0003661549,0.0001435577,0.0000448519,0.00007671658,0.0000186398,0.002620368,0.00009752502,0.9353505,0.06124928,0.00000947667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001075862,0.05723305,0.8689646,0.008851054,0.003000354,0.00011014,0.0007187235,0.0006026599,0.05944366],"genre_scores_gemma":[0.07319654,0.1073981,0.5925999,0.009861003,0.01119715,0.001067112,0.001124013,0.0009354342,0.2026208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01410146,"threshold_uncertainty_score":0.04717404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7122359460271557,"score_gpt":0.6399342536554881,"score_spread":0.07230169237166761,"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."}}