{"id":"W6939472566","doi":"10.6084/m9.figshare.17284190","title":"Additional file 2 of Frequencies of emergency department use and hospitalization comparing patients with different types of substance or polysubstance-related disorders","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Emergency department; Logistic regression; Regression analysis; Linear regression; Diagnosis code; Negative binomial distribution","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001939957,0.0001010718,0.0003313153,0.00002796824,0.00001974066,0.000001826544,0.00005844194,0.00005194762,0.7251047],"category_scores_gemma":[0.01457316,0.00007605647,0.00003215421,0.0001535417,0.00003068991,0.00005879006,0.0000242786,0.00004965917,0.000002249428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001707898,"about_ca_system_score_gemma":0.00002409228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001899133,"about_ca_topic_score_gemma":0.0001706515,"domain_scores_codex":[0.9990681,0.0001089441,0.0004120973,0.0001475297,0.0001587173,0.0001045813],"domain_scores_gemma":[0.9941058,0.004995932,0.0004048002,0.0001504432,0.0003123032,0.00003075927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008036573,0.0003740556,0.03144604,0.0009642545,0.0001738549,0.000001977442,0.0003196984,0.00002821175,0.0000105571,0.002657664,0.9635321,0.0004111668],"study_design_scores_gemma":[0.0006280285,0.0002817723,0.9591382,0.004396801,0.0000678786,9.639593e-7,0.00009687457,0.0008435773,0.0007805236,0.03158972,0.001926456,0.0002491745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08489867,0.00007390116,0.0002695371,0.000002814577,0.00002088082,0.0001445096,0.914456,0.000009723772,0.0001239711],"genre_scores_gemma":[0.1686771,0.00002858361,0.08954856,0.000006603894,0.000008350678,0.0002505694,0.7413281,0.0000280142,0.0001240671],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9616057,"threshold_uncertainty_score":0.9937275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007559466779649,"score_gpt":0.3240108504618264,"score_spread":0.2232549037838615,"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."}}