{"id":"W2999779853","doi":"10.1093/aje/161.supplement_1.s88b","title":"351: Attenuation in Risk Estimates in Logistic and Cox Proportional-Hazards Models Due to Group-Based Exposure Assessment Strategy","year":2005,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proportional hazards model; Logistic regression; Medicine; Risk assessment; Environmental health; Statistics; Internal medicine; Mathematics; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09682536,0.001437441,0.002190645,0.001660388,0.0004750777,0.00208098,0.002461138,0.001914429,0.003814871],"category_scores_gemma":[0.3798745,0.001094329,0.002914811,0.001658,0.001585323,0.002240748,0.00362829,0.003048184,0.0006632658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130383,"about_ca_system_score_gemma":0.001598555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090404,"about_ca_topic_score_gemma":0.001624086,"domain_scores_codex":[0.933036,0.0501368,0.003048305,0.004493173,0.008490694,0.0007951062],"domain_scores_gemma":[0.5354714,0.4073694,0.01542225,0.03243175,0.008382482,0.0009226953],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01633646,0.0009437473,0.4402187,0.002220735,0.009213204,0.001440327,0.004205674,0.09415419,0.007208391,0.02084322,0.01940015,0.3838153],"study_design_scores_gemma":[0.002242493,0.004700586,0.4125112,0.0006369109,0.01019146,0.002847452,0.0009898018,0.4474522,0.01727598,0.08834167,0.01211483,0.0006954622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.481007,0.003518762,0.4994578,0.005885794,0.0006155618,0.0008403686,0.002202729,0.0025618,0.003910142],"genre_scores_gemma":[0.9524212,0.0004700265,0.04196802,0.001260101,0.0001999366,0.0004738015,0.001418568,0.0003745827,0.001413708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9031746,"threshold_uncertainty_score":0.5120676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227484221705386,"score_gpt":0.4403511460210707,"score_spread":0.3176027238505322,"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."}}