{"id":"W2139255321","doi":"10.1093/aje/kwj127","title":"Methods for Pooling Results of Epidemiologic Studies","year":2006,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":331,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Confounding; Pooling; Cohort study; Environmental health; Cohort; Prospective cohort study; Population; Demography; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01005271,0.000144244,0.002171096,0.0001415302,0.0000592747,5.637983e-7,0.00009961754,0.00005635387,0.000004363554],"category_scores_gemma":[0.04086841,0.0000928459,0.0004846813,0.0001835046,0.0008200312,0.0000271596,0.00003773438,0.0001940225,7.582497e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006801717,"about_ca_system_score_gemma":0.0000526016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001788677,"about_ca_topic_score_gemma":0.000004466713,"domain_scores_codex":[0.9964386,0.001017985,0.001950786,0.0001854873,0.00006743069,0.0003396762],"domain_scores_gemma":[0.9705818,0.02624375,0.002194664,0.0001476584,0.0007397211,0.00009236466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02312773,0.001210056,0.2437486,0.0005873378,0.004475379,0.00008343961,0.0003425743,0.002571848,0.008451652,0.06202748,0.3334815,0.3198924],"study_design_scores_gemma":[0.01078874,0.02735169,0.1974275,0.0008180301,0.001325057,0.001532404,0.005190593,0.0005546799,0.001415171,0.4424382,0.3106685,0.0004894022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4150004,0.1512178,0.3254766,0.1033586,0.001515785,0.0008217418,0.0001137305,0.00004374181,0.002451628],"genre_scores_gemma":[0.3130481,0.004035997,0.6795306,0.002489377,0.0008066764,0.000008901273,0.000009585008,0.00001118562,0.00005956157],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3804108,"threshold_uncertainty_score":0.9672108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538474283698609,"score_gpt":0.4984034656841629,"score_spread":0.3445560373143021,"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."}}