{"id":"W4283217814","doi":"10.1186/s12961-022-00868-5","title":"Investigating the influence of institutions, politics, organizations, and governance on the COVID-19 response in British Columbia, Canada: a jurisdictional case study protocol","year":2022,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Coronavirus disease 2019 (COVID-19); Health services research; Politics; Health administration; Public administration; Corporate governance; Public health; 2019-20 coronavirus outbreak; Political science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health policy; Protocol (science); Pandemic; Medicine; Virology; Law; Nursing; Management; Outbreak; Alternative medicine; Economics; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01317053,0.00079997,0.000650645,0.00375702,0.01519361,0.004258247,0.00422878,0.002005942,0.009773358],"category_scores_gemma":[0.01131717,0.0008028915,0.0006851863,0.006148913,0.003960951,0.001300196,0.003605333,0.00232562,0.0007301081],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1224037,"about_ca_system_score_gemma":0.2038714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770234,"about_ca_topic_score_gemma":0.9900168,"domain_scores_codex":[0.9918805,0.003182845,0.0005117105,0.0008579872,0.00116194,0.002404947],"domain_scores_gemma":[0.9869186,0.002912308,0.0008943747,0.0008540591,0.006063956,0.002356714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001392286,0.00358201,0.2395969,0.007083489,0.0002221646,0.02618023,0.4232495,0.006608491,0.005040941,0.04862135,0.0913806,0.1470421],"study_design_scores_gemma":[0.0005836827,0.0007886668,0.161112,0.004924206,0.0002360581,0.001234395,0.6788753,0.00328614,0.001796114,0.004096088,0.142814,0.000253355],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.7350399,0.003294897,0.01153108,0.008516867,0.0002478739,0.1638677,0.01835313,0.0001103391,0.05903834],"genre_scores_gemma":[0.7453054,0.003918911,0.04161885,0.005101363,0.00007339064,0.1672943,0.005754118,0.00004874857,0.0308849],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.8775963,"threshold_uncertainty_score":0.8881054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2845121068513849,"score_gpt":0.5524129240914176,"score_spread":0.2679008172400327,"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."}}