{"id":"W4394071034","doi":"10.6084/m9.figshare.23083989","title":"Additional file 1 of Building an inpatient addiction medicine consult service in Sudbury, Canada: preliminary data and lessons learned in the era of COVID-19","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Health Sciences North","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Addiction; Data file; Medicine; Family medicine; Virology; Psychiatry; Database; Computer science; Infectious disease (medical specialty); Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002300362,0.001247775,0.001691799,0.00395493,0.001847011,0.002978193,0.003077744,0.001781883,0.1998593],"category_scores_gemma":[0.02457201,0.0009077936,0.001636067,0.01065264,0.0006581126,0.001109326,0.001781578,0.002000692,0.03880287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01497034,"about_ca_system_score_gemma":0.02994413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.875054,"about_ca_topic_score_gemma":0.9310052,"domain_scores_codex":[0.9983103,0.0002221492,0.0002309632,0.0003208965,0.0004864784,0.0004291685],"domain_scores_gemma":[0.9825596,0.005190821,0.001574285,0.001512018,0.007436841,0.001726592],"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":[0.00009010384,0.00003955877,0.00654825,0.0004963003,0.00006326412,0.00002131083,0.00004722007,0.0003851247,0.00001205824,0.0004652513,0.9902346,0.001597051],"study_design_scores_gemma":[0.001832512,0.00007382068,0.1480248,0.003084623,0.0002814562,0.0001384012,0.0008806727,0.001808519,0.0002858326,0.003017413,0.8404049,0.0001670901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001239597,0.00001425679,0.00001945601,0.00005032542,0.00000549375,0.0000140092,0.9995177,0.00001763661,0.0002371289],"genre_scores_gemma":[0.002286492,0.00007219512,0.0003711871,0.0001386972,0.00001165112,0.000268131,0.9945746,0.00004280133,0.002234208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1998593,"threshold_uncertainty_score":0.6685961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.319046348193799,"score_gpt":0.4725948417716388,"score_spread":0.1535484935778398,"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."}}