{"id":"W4387015078","doi":"10.32920/24191487","title":"Using Administrative Data to Explore Potentially Aberrant Provision of Virtual Care During COVID-19: Retrospective Cohort Study of Ontario Provincial Data","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Women's College Hospital","funders":"","keywords":"Medicine; Retrospective cohort study; Cohort; Health care; Ambulatory; Ambulatory care; Population; Family medicine; Demography; Environmental health; Internal medicine; Political science","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":[0.002788959,0.0004168218,0.0005293818,0.002495452,0.002282113,0.001626683,0.002046696,0.0005947441,0.001416095],"category_scores_gemma":[0.007581664,0.0009830386,0.0009486696,0.008330305,0.0010053,0.0007057771,0.001441068,0.0008961936,0.0003105418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02005108,"about_ca_system_score_gemma":0.01968381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9631439,"about_ca_topic_score_gemma":0.9750142,"domain_scores_codex":[0.9953421,0.0005163414,0.0004295047,0.0008205019,0.001737097,0.001154418],"domain_scores_gemma":[0.9900274,0.0006908127,0.004795817,0.001087032,0.002106828,0.001292275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003635058,0.00001112692,0.9986603,0.0000128353,0.0000382525,0.00002844453,0.0002970567,0.00003259154,0.00006197942,0.0000403094,0.000461531,0.0003191975],"study_design_scores_gemma":[0.000005248033,0.00001373038,0.9986138,0.00001468503,0.00001586916,0.00002756076,0.0004880172,0.0002225039,0.00002664114,0.00001184305,0.0005537686,0.000006309747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806212,0.0004004611,0.0003319949,0.0003107527,0.00001685982,0.000164323,0.016593,0.00001998717,0.001541435],"genre_scores_gemma":[0.992851,0.0002192943,0.0003240533,0.0001267939,0.000008997516,0.0001140948,0.005830024,0.00001157974,0.0005141167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03685606,"threshold_uncertainty_score":0.1454814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.378260773964932,"score_gpt":0.4773771168291766,"score_spread":0.09911634286424453,"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."}}