{"id":"W4205158992","doi":"10.1097/ede.0000000000001147","title":"Positive Epidemiology?","year":2019,"lang":"en","type":"article","venue":"Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Medicine; 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":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009831072,0.0001138264,0.0006785095,0.00005505356,0.0003028204,0.000002875922,0.0002615743,0.0003152167,0.002295713],"category_scores_gemma":[0.02453299,0.00009853587,0.0001421914,0.0001230613,0.0003603512,0.00009880895,0.00005407412,0.0002710679,0.002346567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328306,"about_ca_system_score_gemma":0.0001951649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358848,"about_ca_topic_score_gemma":0.001182014,"domain_scores_codex":[0.9940664,0.003890032,0.0005512848,0.0003434959,0.00006527534,0.001083484],"domain_scores_gemma":[0.9742548,0.02496372,0.0001880204,0.0002440687,0.00005370972,0.0002956534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006679806,0.00000619712,0.4824053,0.000008060925,0.000007570049,8.691145e-7,0.0004597495,0.000008584664,4.175044e-7,0.4998463,0.01578181,0.00146844],"study_design_scores_gemma":[0.0001323243,0.00003807036,0.5281415,0.00001688897,0.000004189681,0.000001677002,0.0007793789,0.00004383167,9.120776e-7,0.07906158,0.3916652,0.0001145264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2828035,0.002770668,0.0009206714,0.3966938,0.004073262,0.0006703605,0.0000190174,0.0002075998,0.3118412],"genre_scores_gemma":[0.7758163,0.0008696418,0.002893453,0.2020356,0.0009691798,0.00002816318,0.00001864858,0.00001583135,0.01735324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4930128,"threshold_uncertainty_score":0.9986163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09827548076709106,"score_gpt":0.4403703355483999,"score_spread":0.3420948547813089,"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."}}