{"id":"W3183328395","doi":"10.12927/hcq.2021.26549","title":"Do Not Waste a Crisis: Physician Engagement during the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Disaster Response and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Sinai Health System; University Health Network","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public engagement; Nursing; Psychology; Medicine; Public relations; Political science; Infectious disease (medical specialty); Virology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00167993,0.0002649635,0.0003559006,0.0001098119,0.002226279,0.00006120806,0.000354359,0.000136402,0.0003934199],"category_scores_gemma":[0.00008130792,0.0002035598,0.0001512889,0.0003709986,0.00004107105,0.0001427992,0.0001743906,0.0009253221,0.0008009035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544588,"about_ca_system_score_gemma":0.001014431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009425768,"about_ca_topic_score_gemma":0.00280205,"domain_scores_codex":[0.993795,0.003286682,0.0007260759,0.0006090507,0.0005161841,0.001067023],"domain_scores_gemma":[0.9975653,0.0004435637,0.0002567559,0.001115539,0.0001670828,0.0004517704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001419981,0.0005298022,0.0145475,0.01017189,0.0004835858,0.0008670386,0.6416329,0.00002751699,0.002148495,0.04613762,0.1889771,0.09305657],"study_design_scores_gemma":[0.00133269,0.0002270016,0.003421183,0.0001907863,0.0000416437,0.00001059686,0.4286219,0.00001306607,0.00001833501,0.001251501,0.5646151,0.0002561522],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8275383,0.001309662,0.0009841677,0.1568242,0.001649015,0.002336628,0.0001024821,0.0004756409,0.008779923],"genre_scores_gemma":[0.8886902,0.0001364975,0.00005504121,0.1032278,0.0006614893,0.000710884,0.00002494897,0.00004451375,0.006448717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.375638,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270593313132649,"score_gpt":0.439640441672042,"score_spread":0.3125811103587771,"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."}}