{"id":"W3045299840","doi":"10.1101/2020.07.20.20158386","title":"COVIDCare@Home: Lessons from a Family Medicine Led Remote Monitoring Program","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"University of Toronto","keywords":"Medicine; Mental health; Health care; Telemedicine; Cohort; Population; Family medicine; Nursing; Medical emergency; Environmental health; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004710907,0.0004975055,0.000231661,0.0003948541,0.002035832,0.001315766,0.002197239,0.001067665,0.00382103],"category_scores_gemma":[0.009877373,0.0002697918,0.0006904201,0.0003178031,0.000931529,0.001836349,0.003634432,0.001979027,0.0004253137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002579891,"about_ca_system_score_gemma":0.007780639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01361546,"about_ca_topic_score_gemma":0.04503958,"domain_scores_codex":[0.9961404,0.002472871,0.0001047196,0.0001642845,0.0004382773,0.000679339],"domain_scores_gemma":[0.9917644,0.002021827,0.0003793747,0.0003499625,0.0005237519,0.004960677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004991162,0.01196692,0.06461676,0.001022324,0.00008625261,0.003681407,0.01469783,0.002005626,0.0009916516,0.001340862,0.0865073,0.8125839],"study_design_scores_gemma":[0.003667293,0.03739494,0.5042107,0.008953064,0.0005166421,0.009174637,0.1167634,0.01260009,0.005648547,0.009714709,0.2908361,0.0005198744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.810234,0.003336069,0.01326538,0.1194373,0.001458385,0.003819676,0.0007142982,0.00109638,0.04663854],"genre_scores_gemma":[0.915043,0.004746596,0.05730056,0.01350441,0.0007859773,0.002248649,0.000638379,0.0001246862,0.005607747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361546,"threshold_uncertainty_score":0.02707243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281962238544673,"score_gpt":0.4717940539534158,"score_spread":0.2435978300989485,"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."}}