{"id":"W4399294621","doi":"10.1186/s12961-024-01146-2","title":"The use of evidence to guide decision-making during the COVID-19 pandemic: divergent perspectives from a qualitative case study in British Columbia, Canada","year":2024,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Canadian Institutes of Health Research; Faculty of Medicine, University of British Columbia","keywords":"Public health; Public relations; Government (linguistics); Health services research; CLARITY; Health policy; Political science; Stakeholder; Public policy; Qualitative research; Corporate governance; Pandemic; Health administration; Empirical evidence; Public administration; Sociology; Medicine; Coronavirus disease 2019 (COVID-19); Nursing; Social science; Law; Economics; Management","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.03556969,0.0007162733,0.001108974,0.002999539,0.04800345,0.01246577,0.004552158,0.004117401,0.003258608],"category_scores_gemma":[0.04409022,0.0009869805,0.0005179161,0.006739842,0.0290449,0.003462352,0.0088783,0.006114122,0.0002490064],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1827331,"about_ca_system_score_gemma":0.2018839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9551644,"about_ca_topic_score_gemma":0.973875,"domain_scores_codex":[0.9553483,0.03066291,0.001332706,0.001632276,0.004049101,0.006974621],"domain_scores_gemma":[0.9162832,0.05889734,0.002477563,0.001196024,0.01123793,0.009907836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004445578,0.00002307959,0.00268882,0.0002242448,0.000007771291,0.002565121,0.9850408,0.0001888853,0.0004764808,0.003155285,0.001268212,0.004316814],"study_design_scores_gemma":[0.00000462754,0.00001152686,0.000984731,0.0003505117,0.000005616728,0.0001428519,0.9859533,0.0001244914,0.000130036,0.0003471162,0.01192534,0.0000198473],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232184,0.005072752,0.004378861,0.03649687,0.0001911873,0.0007757351,0.0003459331,0.00002760144,0.02949266],"genre_scores_gemma":[0.9885058,0.001906822,0.001865486,0.002973489,0.00001393675,0.000191171,0.00006590798,0.00003595301,0.004441487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9519966,"threshold_uncertainty_score":0.9479138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9399959475687769,"score_gpt":0.7768269026553423,"score_spread":0.1631690449134346,"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."}}