{"id":"W3095677799","doi":"10.1016/j.sapharm.2020.10.014","title":"Management of human resources of a pharmacy department during the COVID-19 pandemic: Take-aways from the first wave","year":2020,"lang":"en","type":"article","venue":"Research in Social and Administrative Pharmacy","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Pharmacy; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Family medicine; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002226352,0.0001128659,0.000214892,0.00003201392,0.002030787,0.0000537579,0.0004323334,0.00003777728,0.0001890437],"category_scores_gemma":[0.000641059,0.00008244893,0.00006204773,0.0008362311,0.001725812,0.0001010926,0.0001683862,0.0004134502,0.000002520953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368603,"about_ca_system_score_gemma":0.0006571731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159494,"about_ca_topic_score_gemma":0.003754265,"domain_scores_codex":[0.9965369,0.00143252,0.0004075083,0.0002784849,0.0009147982,0.0004298246],"domain_scores_gemma":[0.9964797,0.00279831,0.0002008408,0.00009349137,0.0001305516,0.0002970786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004177311,0.0002212794,0.5703819,0.0004410009,0.0001048606,0.00002833079,0.4092589,7.472213e-7,0.0003064729,0.01019607,0.0009930765,0.007649664],"study_design_scores_gemma":[0.003734889,0.000164682,0.2648362,0.0001122994,0.00006651675,9.045125e-7,0.2645565,0.00002910312,0.001109299,0.008066071,0.457057,0.0002665224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102023,0.0006734808,0.00000197182,0.08478975,0.0001189983,0.001737989,0.0001088121,0.00001820204,0.002348517],"genre_scores_gemma":[0.9962849,0.001611409,0.00001821062,0.0004739201,0.001038361,0.0005393758,0.000007620415,0.000007865962,0.00001832818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4560639,"threshold_uncertainty_score":0.9992684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7014471824783435,"score_gpt":0.5906292739410572,"score_spread":0.1108179085372862,"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."}}