{"id":"W3111761892","doi":"10.1136/bmjopen-2020-041622","title":"National primary care responses to COVID-19: a rapid review of the literature","year":2020,"lang":"en","type":"review","venue":"BMJ Open","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; International Development Research Centre","keywords":"Medicine; Pandemic; Health care; Modalities; Telehealth; Public health; Telemedicine; Nursing; Coronavirus disease 2019 (COVID-19); Medical emergency; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345695,0.00026282,0.001807889,0.0001419043,0.00008540074,0.00002735156,0.0006073523,0.0001199924,0.0005321337],"category_scores_gemma":[0.004736684,0.0001514833,0.0003258975,0.00111647,0.0000293278,0.00006001745,0.0005043719,0.0003604479,0.00003986281],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057395,"about_ca_system_score_gemma":0.01395885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002538199,"about_ca_topic_score_gemma":0.000008129184,"domain_scores_codex":[0.9968842,0.0006299298,0.001104502,0.0003659112,0.0008403,0.0001751418],"domain_scores_gemma":[0.9976421,0.0003639975,0.0006869522,0.0005644513,0.0003820247,0.0003604701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008122292,0.000009418473,0.000008251583,0.3735025,0.00004846523,0.00002201414,0.0003208295,3.791775e-9,7.417849e-8,0.00004207531,0.2334273,0.3925378],"study_design_scores_gemma":[0.0004340573,0.0001986293,0.00007164821,0.2744336,0.0004664267,0.0001983654,0.00004756424,1.726411e-8,2.525748e-7,0.000005649173,0.7240434,0.0001004062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.709891e-7,0.9364709,0.000004146486,0.02725102,0.0001595841,0.03063144,0.0008415165,0.00001683061,0.004624339],"genre_scores_gemma":[2.504197e-7,0.881859,0.0006447657,0.1113321,0.0004192661,0.002722305,0.002253362,0.00003083644,0.0007381007],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4906161,"threshold_uncertainty_score":0.9916311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2307438615667365,"score_gpt":0.5457299205753554,"score_spread":0.3149860590086189,"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."}}