{"id":"W7093591357","doi":"","title":"Liste canadienne des mÃ©dicaments essentiels: Potentiel et incertitudes","year":2017,"lang":"en","type":"article","venue":"PubMed Central","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Archaeomagnetic dating; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002589657,0.0005029236,0.000741081,0.002557207,0.00123083,0.002605099,0.0005565165,0.001571848,0.04637136],"category_scores_gemma":[0.02286037,0.0001802537,0.0007777343,0.00343119,0.0007482572,0.002019017,0.001201582,0.002288864,0.009735649],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587322,"about_ca_system_score_gemma":0.004032721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003173891,"about_ca_topic_score_gemma":0.003879389,"domain_scores_codex":[0.9972919,0.0007807029,0.0005834433,0.0001513487,0.000992548,0.0002000192],"domain_scores_gemma":[0.9858641,0.007706004,0.001982755,0.000281566,0.003532958,0.0006325896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008816447,0.0001666859,0.008055523,0.01021631,0.0002121516,0.0006133096,0.001166997,0.000147365,0.001100352,0.01184562,0.2357023,0.7298919],"study_design_scores_gemma":[0.0001068009,0.0001904381,0.01174567,0.009069961,0.000168125,0.001901112,0.0009684658,0.00008525104,0.0009361737,0.003197977,0.9715849,0.00004503756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01801915,0.6803162,0.002606549,0.0961702,0.02613606,0.0002297215,0.003336556,0.0004044145,0.172781],"genre_scores_gemma":[0.1964041,0.6191115,0.01070277,0.03194246,0.02027757,0.0009447981,0.004404854,0.0002130265,0.115999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9984127,"threshold_uncertainty_score":0.1551277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229746334186757,"score_gpt":0.2980175216422533,"score_spread":0.2557200583003857,"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."}}