{"id":"W3038599591","doi":"10.4212/cjhp.v73i3.3004","title":"S’adapter à une pandémie","year":2020,"lang":"fr","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pharmacists Association","funders":"","keywords":"Adapter (computing); Medicine; Computer science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006185103,0.001168787,0.0008701435,0.001718957,0.00789595,0.01051154,0.001247179,0.006777631,0.08609944],"category_scores_gemma":[0.03881153,0.0005492884,0.00141225,0.001342469,0.007138905,0.01117454,0.006060353,0.01543171,0.02118479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005544982,"about_ca_system_score_gemma":0.008270542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070562,"about_ca_topic_score_gemma":0.02910239,"domain_scores_codex":[0.9906652,0.002883957,0.0005535865,0.001053046,0.003442463,0.00140163],"domain_scores_gemma":[0.9831932,0.003668443,0.0008893025,0.001867742,0.007193245,0.003187978],"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":[0.0002875011,0.000418673,0.008860202,0.0003687163,0.0001270518,0.006712344,0.01279422,0.0002127693,0.001554058,0.2005795,0.5907782,0.1773067],"study_design_scores_gemma":[0.00001568064,0.00002847217,0.0007338399,0.0001991705,0.000009646272,0.002750231,0.003163493,0.00006045242,0.0001731884,0.007877501,0.9849583,0.00002995936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02016042,0.01339995,0.006061961,0.5782252,0.05826837,0.00012275,0.000533707,0.0009543094,0.3222733],"genre_scores_gemma":[0.1720902,0.009569308,0.008464486,0.1892452,0.01397051,0.0001824824,0.0005074054,0.001009545,0.6049608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9792944,"threshold_uncertainty_score":0.2880313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1718038164091576,"score_gpt":0.4452995325420001,"score_spread":0.2734957161328425,"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."}}