{"id":"W2884073796","doi":"10.7202/1048942ar","title":"Traitement du diabète associé à la fibrose kystique et de ses répercussions nutritionnelles","year":2018,"lang":"fr","type":"article","venue":"Nutrition, science en évolution","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Gynecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.005583687,0.0003640464,0.0004377972,0.0006911548,0.001841332,0.0002555553,0.0003827834,0.0004378291,0.001044703],"category_scores_gemma":[0.001745156,0.0003850423,0.0001875077,0.001832748,0.002949661,0.001253778,0.0001127393,0.0006731221,0.0004215983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002841622,"about_ca_system_score_gemma":0.002059005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004797532,"about_ca_topic_score_gemma":0.0001469986,"domain_scores_codex":[0.994993,0.0009785073,0.0007942805,0.0008270008,0.001031938,0.001375268],"domain_scores_gemma":[0.9965929,0.0007249713,0.000241689,0.0004294458,0.001100125,0.0009109044],"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":[0.0004108133,0.009640103,0.0208977,0.003928134,0.00007527081,0.0001151986,0.01383874,0.00004723272,0.1928135,0.5058753,0.242816,0.009541961],"study_design_scores_gemma":[0.008938134,0.001685656,0.2710987,0.01590161,0.0002572594,0.001156137,0.006183656,0.01329702,0.01946319,0.04040929,0.6205943,0.001015101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6218483,0.01627134,0.0371982,0.2876345,0.009774365,0.003581318,0.0007498057,0.0008123113,0.02212987],"genre_scores_gemma":[0.9488412,0.0124601,0.02622145,0.003878467,0.006771693,0.0002603665,0.000118186,0.0000444485,0.001404153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.465466,"threshold_uncertainty_score":0.9998685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229977359931485,"score_gpt":0.3690663353231909,"score_spread":0.3460685993300424,"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."}}