{"id":"W3216770342","doi":"10.1136/bmj-2021-067512","title":"Assessing the role of qualitative factors in pandemic responses","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Preparedness; Government (linguistics); Pandemic; Work (physics); Business; Public relations; Global health; Economic growth; Political science; Health care; Medicine; Coronavirus disease 2019 (COVID-19); Economics; Infectious disease (medical specialty); Disease; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2834907,0.001382477,0.001260354,0.006378733,0.005063558,0.009144792,0.003641329,0.002221493,0.008305565],"category_scores_gemma":[0.4213366,0.00115584,0.002746004,0.007244538,0.009269673,0.01247522,0.01348236,0.003253424,0.0009213498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01723363,"about_ca_system_score_gemma":0.01710013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399334,"about_ca_topic_score_gemma":0.02690819,"domain_scores_codex":[0.7606111,0.1867915,0.01728538,0.007036386,0.02235467,0.005920865],"domain_scores_gemma":[0.4803703,0.4083142,0.04105534,0.02158794,0.04556369,0.003108671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008050009,0.0003448141,0.2514565,0.01263102,0.0007289193,0.0004480109,0.4169678,0.001930799,0.0009896827,0.05279171,0.01128093,0.2496247],"study_design_scores_gemma":[0.0002248361,0.0008745598,0.2074719,0.0282048,0.0007721732,0.0005500336,0.4726158,0.008836958,0.004215257,0.1341291,0.1414396,0.0006648604],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5152612,0.02945076,0.2510538,0.08587301,0.004284666,0.02089939,0.01260109,0.0004203646,0.08015579],"genre_scores_gemma":[0.9075015,0.002489628,0.06060125,0.007522081,0.0002030964,0.01759588,0.001403722,0.0001572487,0.002525656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2834907,"threshold_uncertainty_score":0.8835836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2007308744069749,"score_gpt":0.5387468299627446,"score_spread":0.3380159555557697,"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."}}