{"id":"W3039632492","doi":"10.4212/cjhp.v73i3.3005","title":"Pivoting for a Pandemic","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Computer science; Coronavirus disease 2019 (COVID-19); Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005865207,0.0009640648,0.0006090437,0.001431503,0.01657747,0.01462281,0.001854495,0.01029037,0.08609779],"category_scores_gemma":[0.01610415,0.0004488659,0.001164406,0.0009261236,0.01032803,0.0145575,0.01353325,0.01544094,0.01885652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008259009,"about_ca_system_score_gemma":0.04207933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.028857,"about_ca_topic_score_gemma":0.05621708,"domain_scores_codex":[0.9934643,0.001624499,0.0001864307,0.0005912587,0.00149073,0.002642859],"domain_scores_gemma":[0.9887001,0.001189395,0.0004954421,0.0007376154,0.002435075,0.006442342],"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":[0.0001340603,0.0001356356,0.003299867,0.0003264926,0.0000405113,0.001045153,0.008044872,0.000335794,0.0006439756,0.1721386,0.746927,0.0669281],"study_design_scores_gemma":[0.00001936868,0.00007676154,0.001501079,0.000393248,0.00001031035,0.0002495499,0.02117216,0.0001550429,0.0002038817,0.05394377,0.9222261,0.00004875907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.009380592,0.006110122,0.004414531,0.5942464,0.04401146,0.0001931528,0.0003135405,0.0006073926,0.3407229],"genre_scores_gemma":[0.3600794,0.007319989,0.008948574,0.3347348,0.0108381,0.0002029633,0.0004538749,0.0005968976,0.2768254],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08609779,"threshold_uncertainty_score":0.2880258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571509795618672,"score_gpt":0.4348339139297141,"score_spread":0.2776829343678469,"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."}}