{"id":"W2941153131","doi":"10.4212/cjhp.v72i2.2891","title":"Communication : s’adapter à une nouvelle époque, à de nouveaux besoins","year":2019,"lang":"fr","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pharmacists Association","funders":"","keywords":"Adapter (computing); Gynecology; 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":[0.002398185,0.0007626034,0.0003235111,0.001133521,0.005903475,0.00851014,0.0006871108,0.003067698,0.03424391],"category_scores_gemma":[0.01293766,0.0003896005,0.0004620883,0.001281854,0.00636364,0.008237524,0.003956334,0.00430449,0.009800863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003635798,"about_ca_system_score_gemma":0.006095779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03054261,"about_ca_topic_score_gemma":0.02919431,"domain_scores_codex":[0.996632,0.001405492,0.0001181469,0.0003582008,0.001184484,0.0003016161],"domain_scores_gemma":[0.9937136,0.002230274,0.0003886987,0.0006336073,0.002432328,0.000601555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004349241,0.0001111634,0.003984527,0.0005056986,0.00005887691,0.002496481,0.1493912,0.000434206,0.01010609,0.3445302,0.3327533,0.1551934],"study_design_scores_gemma":[0.00001325796,0.00003002286,0.002044423,0.000256396,0.00001436538,0.0009956895,0.03332412,0.000461251,0.001887601,0.009519314,0.9514025,0.00005100626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09314756,0.007563235,0.04955174,0.1972148,0.01653801,0.0002310291,0.001334138,0.001697124,0.6327223],"genre_scores_gemma":[0.4716442,0.004005047,0.02061006,0.0122338,0.003746731,0.0001508953,0.0006567698,0.001566939,0.4853856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03424391,"threshold_uncertainty_score":0.1145573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968629709714247,"score_gpt":0.2691657407117523,"score_spread":0.2494794436146098,"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."}}