{"id":"W3036214048","doi":"10.1186/s40545-020-00241-3","title":"Pharmacists and COVID-19","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Policy and Practice","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Pandemic; Pharmacy; Health care; Government (linguistics); Telehealth; Coronavirus disease 2019 (COVID-19); Family medicine; Population; Telemedicine; Nursing; Medical emergency; Disease; Environmental health; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.005471355,0.0004022831,0.0005334337,0.001089657,0.005038541,0.007666735,0.0009626413,0.007780966,0.0329606],"category_scores_gemma":[0.02300215,0.0003531331,0.0006093348,0.00137633,0.005003609,0.004948744,0.009305272,0.01149931,0.005596229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004324208,"about_ca_system_score_gemma":0.01582764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015622,"about_ca_topic_score_gemma":0.0129979,"domain_scores_codex":[0.9908673,0.003767372,0.0004412699,0.0009118868,0.002257686,0.001754547],"domain_scores_gemma":[0.974359,0.004753122,0.002846178,0.0006430976,0.003284413,0.01411417],"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":[0.0002349869,0.0004924779,0.02111632,0.00111815,0.0001049945,0.002284218,0.006993947,0.000156813,0.0002402383,0.09715592,0.6619067,0.2081953],"study_design_scores_gemma":[0.0000840861,0.0002044937,0.008101971,0.001519633,0.00002553967,0.002524802,0.004645087,0.0001062354,0.000114683,0.02042553,0.9621894,0.00005846981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00954283,0.04803839,0.0006432684,0.8318653,0.009990534,0.00005895444,0.0001629855,0.0000751673,0.09962263],"genre_scores_gemma":[0.2551772,0.1228503,0.001871015,0.5197012,0.02103906,0.0001539329,0.0004560915,0.0001172924,0.07863398],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0329606,"threshold_uncertainty_score":0.1102642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082275718996348,"score_gpt":0.4434959376548391,"score_spread":0.3352683657552043,"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."}}