{"id":"W3175620609","doi":"10.46747/cfp.6708565_1","title":"Learning from each other: lessons from COVID-19","year":2021,"lang":"en","type":"letter","venue":"Canadian Family Physician","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data science; Pandemic; MEDLINE; Betacoronavirus; Medicine; Computer science; Medical education; Pathology; Biology; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01295485,0.0007646923,0.001119517,0.000901251,0.02691673,0.0108994,0.003531945,0.02025867,0.01358773],"category_scores_gemma":[0.05633134,0.0007817273,0.001329118,0.000942299,0.01056345,0.01426841,0.009811573,0.03790573,0.005240577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01457464,"about_ca_system_score_gemma":0.03123671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07090371,"about_ca_topic_score_gemma":0.1517794,"domain_scores_codex":[0.9851857,0.007231632,0.0006531936,0.001022281,0.002853649,0.003053543],"domain_scores_gemma":[0.958506,0.01288533,0.001398929,0.00107953,0.006624257,0.01950591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003435163,0.0001238293,0.003514859,0.0001278369,0.00003274683,0.01543828,0.01901525,0.0001324064,0.0000641932,0.007968393,0.9128107,0.04073713],"study_design_scores_gemma":[0.00008785889,0.000153515,0.002705482,0.002059421,0.00004218234,0.03375352,0.07612566,0.0003727533,0.00008617121,0.04520622,0.8392195,0.0001878269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003880907,0.006146486,0.0006844281,0.9493383,0.01140891,0.00001910417,0.00002859049,0.00006183909,0.02843149],"genre_scores_gemma":[0.08850248,0.01319567,0.00306718,0.8605598,0.01727072,0.0000815102,0.00009559526,0.0001824477,0.01704458],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07090371,"threshold_uncertainty_score":0.140982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06395750611431979,"score_gpt":0.2899947025212557,"score_spread":0.2260371964069359,"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."}}