{"id":"W6945298637","doi":"10.25384/sage.14980368","title":"Supplemental Material, sj-docx-1-cpa-10.1177_07067437211027321 - Socioeconomic and Geographic Disparities in Emergency Department Visits due to Alcohol in Ontario: A Retrospective Population-level Study from 2003 to 2017: Disparités Socio-Économiques et Géographiques Dans les Visites au Service D’urgence en raison de L’alcool en Ontario: Une étude Rétrospective Dans la Population, de 2003 à 2017","year":2021,"lang":"fr","type":"article","venue":"Sage Journals Data","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Emergency department; Retrospective cohort study; Alcohol abuse; Poison control; Service (business)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001091054,0.0007687968,0.001102248,0.003119556,0.002657221,0.002765979,0.002204244,0.001166856,0.6961409],"category_scores_gemma":[0.02071163,0.001017598,0.0009910521,0.00769797,0.0005269651,0.001633196,0.001587607,0.0009299775,0.141116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008938496,"about_ca_system_score_gemma":0.0192911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7058019,"about_ca_topic_score_gemma":0.8220874,"domain_scores_codex":[0.9986655,0.00007794557,0.0002731599,0.0001651673,0.0005034031,0.0003149569],"domain_scores_gemma":[0.9821048,0.003535208,0.001558115,0.0007470468,0.01034003,0.00171476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006246695,0.00003840236,0.005540642,0.0006448098,0.00001407055,0.00002546382,0.0001139376,0.00003699732,0.0000464404,0.0001118386,0.9900101,0.003354862],"study_design_scores_gemma":[0.001525222,0.0001103895,0.2321533,0.002626852,0.0001400775,0.0002140703,0.002637436,0.0003886466,0.000379021,0.0008697654,0.7588299,0.0001253435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000512708,0.00003461027,0.00005608662,0.0002959485,0.00008490404,0.0001265682,0.9948865,0.0001265319,0.003876172],"genre_scores_gemma":[0.01111904,0.000475882,0.001166556,0.000933231,0.0002292045,0.001968624,0.9437561,0.0003636604,0.03998764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6961409,"threshold_uncertainty_score":0.5918614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04882336961637819,"score_gpt":0.3392051992263642,"score_spread":0.290381829609986,"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."}}