{"id":"W2167067711","doi":"10.1002/cjs.10116","title":"Measurement error modeling and nutritional epidemiology association analyses","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Nutritional epidemiology; Confounding; Epidemiology; Environmental epidemiology; Body mass index; Association (psychology); Environmental health; Estimation; Medicine; Gerontology; Psychology; Engineering; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005911441,0.0000603537,0.0002476026,0.0001178907,0.00009385668,0.000004374775,0.00002592301,0.00004538041,0.0001098923],"category_scores_gemma":[0.001569691,0.00005304079,0.00004186081,0.00004773158,0.00003713305,0.00003066941,0.000003271718,0.0001248366,0.000002341588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403981,"about_ca_system_score_gemma":0.000419901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177504,"about_ca_topic_score_gemma":0.005150856,"domain_scores_codex":[0.999221,0.00004039004,0.0003388964,0.00006025824,0.000170778,0.0001686836],"domain_scores_gemma":[0.9984202,0.00008639333,0.0001690346,0.00003290955,0.0009026383,0.0003887789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002994973,0.0001923074,0.8276999,0.0002473114,0.001362988,0.0006990335,0.0005434395,0.0001809814,0.0001314382,0.02941925,0.1360465,0.00317737],"study_design_scores_gemma":[0.003405435,0.001152438,0.8698293,0.000555568,0.001012624,0.0006235128,0.001034783,0.005695249,0.00003766017,0.1066808,0.009690518,0.000282143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4052653,0.05663142,0.5053194,0.01900883,0.002000012,0.0006867259,0.002536333,0.00002208374,0.008529912],"genre_scores_gemma":[0.9544689,0.0003331591,0.04436072,0.0006166614,0.0001821307,0.000001143872,0.000009786085,0.000005716595,0.00002175152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5492036,"threshold_uncertainty_score":0.3291749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3234673385488874,"score_gpt":0.3537028330290131,"score_spread":0.03023549448012569,"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."}}