{"id":"W3197313070","doi":"10.12927/hcpol.2021.26576","title":"Telehealth in Primary Healthcare: A Portrait of its Rapid Implementation during the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; The Quebec Population Health Research Network; McGill University; Université de Sherbrooke; Université du Québec à Montréal; McGill University Health Centre; Université Laval; Université de Montréal","funders":"Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Telehealth; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Telemedicine; Health care; Primary care; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nursing; Medicine; Medical emergency; Family medicine; Political science; Virology; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327476,0.0002602892,0.0006757954,0.0005538102,0.0002729004,0.00001101939,0.0001334101,0.0001535048,0.0002909181],"category_scores_gemma":[0.0005170594,0.0002195421,0.0001171576,0.001618485,0.0000781699,0.0001228585,0.00007863092,0.0005963402,0.000008766325],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00209665,"about_ca_system_score_gemma":0.01224709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02611303,"about_ca_topic_score_gemma":0.01697991,"domain_scores_codex":[0.9956357,0.0005912954,0.001612465,0.0005094,0.0006952967,0.0009558845],"domain_scores_gemma":[0.9974575,0.0002602097,0.0005655233,0.0005438691,0.0003388527,0.0008340468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003896748,0.000141349,0.8692633,0.0115403,0.00004354447,0.0001554593,0.006924659,0.000002316508,0.001863567,0.004471802,0.001804094,0.1034],"study_design_scores_gemma":[0.005987797,0.0006196343,0.9591225,0.0001806654,0.00003163337,0.00132418,0.004684876,0.00000629032,0.0007908816,0.0003797991,0.02669303,0.0001787218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7198077,0.004777651,0.00003278141,0.2731029,0.0001384427,0.001704308,0.0001603014,0.00009096209,0.0001849077],"genre_scores_gemma":[0.9094663,0.006998127,0.0002608763,0.08175612,0.0006320769,0.0001951197,0.0005258657,0.00004343557,0.0001220566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1913468,"threshold_uncertainty_score":0.9933525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0876367647791116,"score_gpt":0.4401352391986375,"score_spread":0.3524984744195259,"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."}}