{"id":"W4315436872","doi":"10.1093/aje/kwad009","title":"RE: “A FRAMEWORK FOR DESCRIPTIVE EPIDEMIOLOGY”","year":2023,"lang":"en","type":"letter","venue":"American Journal of Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biostatistics; Epidemiology; Medicine; Public health; Clinical epidemiology; Family medicine; Library science; Gerontology; Computer science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06558686,0.001298045,0.001299832,0.005228514,0.001818493,0.005247273,0.002992914,0.004605489,0.01388415],"category_scores_gemma":[0.1431073,0.0009042206,0.002248474,0.004400159,0.01027769,0.009774844,0.004137945,0.01131334,0.005343674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003795649,"about_ca_system_score_gemma":0.007739969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004984038,"about_ca_topic_score_gemma":0.003288022,"domain_scores_codex":[0.9304705,0.06016264,0.002488837,0.002206082,0.00415411,0.0005179417],"domain_scores_gemma":[0.8568101,0.1206211,0.003500079,0.00832354,0.009334956,0.001410139],"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":[0.00001025279,0.000007459036,0.0002001547,0.0001956718,0.00002971509,0.00004718745,0.0002879271,0.0006385652,0.00002603869,0.9346718,0.04331874,0.02056656],"study_design_scores_gemma":[0.00001609803,0.000009642838,0.0001338061,0.0003095433,0.00001404145,0.0001483869,0.0001015085,0.001966488,0.00004207595,0.9048728,0.09236877,0.00001684171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.000345557,0.005735681,0.8398947,0.1257347,0.003604963,0.0002226381,0.0009059068,0.0005979507,0.02295797],"genre_scores_gemma":[0.07085066,0.01315207,0.8249632,0.05085205,0.01271692,0.003443567,0.001362834,0.001136263,0.02152255],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06558686,"threshold_uncertainty_score":0.3468606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3969803070507769,"score_gpt":0.5023215673924645,"score_spread":0.1053412603416876,"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."}}