{"id":"W3122038834","doi":"10.1177/1357633x20981227","title":"Healthcare utilization and telemedicine: An evaluation using linked administrative data from Manitoba","year":2021,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Telemedicine; Confidence interval; Medicine; Telehealth; Ambulatory; Primary care; Health care; Ambulatory care; Incidence (geometry); Population; Family medicine; Emergency medicine; Medical emergency; Internal medicine; Environmental health","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":[0.01065666,0.0006667011,0.000648796,0.003740309,0.001029801,0.002123404,0.001725156,0.0005564226,0.001258409],"category_scores_gemma":[0.01942945,0.0005224685,0.001735773,0.007787763,0.0006411493,0.0008455652,0.002019916,0.0006855368,0.0003342639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006766844,"about_ca_system_score_gemma":0.00695333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5252179,"about_ca_topic_score_gemma":0.4442082,"domain_scores_codex":[0.9935225,0.003606952,0.000379101,0.0004389283,0.001628505,0.00042411],"domain_scores_gemma":[0.9846702,0.004291782,0.004438279,0.0009579896,0.004530207,0.001111447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003270549,0.0002831844,0.9921428,0.0001211534,0.0005036323,0.00004690212,0.0003102991,0.000514219,0.00008237491,0.00006259078,0.0003998732,0.005205915],"study_design_scores_gemma":[0.0001210961,0.0004285241,0.9947522,0.0001507498,0.0002797001,0.000049941,0.0009566222,0.00256051,0.0001109406,0.0000426909,0.0005305774,0.00001659733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919395,0.0007582075,0.0005230212,0.0002941315,0.0000182957,0.0004671434,0.004962396,0.00002861368,0.001008656],"genre_scores_gemma":[0.9905611,0.0009297994,0.001423948,0.0002406454,0.00003627883,0.000722731,0.005667087,0.00001154884,0.0004068775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4747821,"threshold_uncertainty_score":0.9551564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3557285521248149,"score_gpt":0.4860932372385553,"score_spread":0.1303646851137404,"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."}}