{"id":"W3216402224","doi":"10.12927/hcpol.2021.26658","title":"A “Shock Test” to Primary Care Integration: COVID-19 Lessons from Alberta","year":2021,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; University of Calgary","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Shock (circulatory); Personal protective equipment; Test (biology); Health care; Business; Distribution (mathematics); Primary care; Medical emergency; Public relations; Political science; Medicine; Family medicine; Economic growth; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004640764,0.0002723573,0.0002761737,0.0005980381,0.01283672,0.006431344,0.002452908,0.002069854,0.00228179],"category_scores_gemma":[0.005150907,0.0003623107,0.0002840485,0.001896116,0.00896078,0.001967058,0.004425667,0.00416577,0.0001317087],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1123417,"about_ca_system_score_gemma":0.170025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.975942,"about_ca_topic_score_gemma":0.9867417,"domain_scores_codex":[0.9956276,0.001366865,0.0000606883,0.0001552005,0.0007153534,0.002074329],"domain_scores_gemma":[0.9967735,0.001108072,0.0001216548,0.00009236379,0.0006464647,0.001257947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003623647,0.0004620126,0.08306539,0.0005887614,0.0000442301,0.008943247,0.6594077,0.002516382,0.002356398,0.07759161,0.04250291,0.122159],"study_design_scores_gemma":[0.00003873266,0.0001231434,0.05557884,0.0003852557,0.00002528997,0.0003034572,0.850013,0.0007415531,0.0005686194,0.003091315,0.08908596,0.00004487188],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8261064,0.002503294,0.0008561566,0.1223312,0.0002188276,0.0001280428,0.0001631851,0.0000432165,0.04764966],"genre_scores_gemma":[0.9820546,0.001526759,0.0006778919,0.008282975,0.00003839268,0.0000231641,0.00009583029,0.00001678527,0.007283571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8876583,"threshold_uncertainty_score":0.8150998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07901340874272324,"score_gpt":0.4533208070535282,"score_spread":0.374307398310805,"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."}}