{"id":"W7104287361","doi":"10.71781/3938","title":"Statut en sélénium et en vitamine E des chevaux du Québec","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Vitamin; Vitamin E; Winter season; Consumption (sociology); Field survey","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":[0.0004424232,0.0004140812,0.0002995564,0.00117654,0.001687733,0.001006571,0.000378691,0.00033941,0.005267574],"category_scores_gemma":[0.0007269658,0.000152675,0.0002599908,0.001377475,0.0004864561,0.000345239,0.0002161676,0.0004478594,0.0004102699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01069157,"about_ca_system_score_gemma":0.005348048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852173,"about_ca_topic_score_gemma":0.9915472,"domain_scores_codex":[0.9996849,0.00005460265,0.00001462827,0.0000751882,0.00008847834,0.0000822377],"domain_scores_gemma":[0.9992717,0.0001092175,0.0001406218,0.00002535872,0.0003224132,0.0001307172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002907911,0.0001253828,0.952055,0.00006862365,0.0001901933,0.0002948995,0.0009025749,0.0004971342,0.00355473,0.0004189017,0.003052961,0.0385487],"study_design_scores_gemma":[0.00001281373,0.00004626039,0.994586,0.0000279246,0.00002446508,0.0001027798,0.0005282289,0.000582378,0.0002503218,0.00002391846,0.003805891,0.000009030343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903249,0.001614233,0.000451334,0.0002302229,0.00001680777,0.00003190236,0.002527779,0.00003372567,0.00476927],"genre_scores_gemma":[0.9898981,0.0005914108,0.0005899588,0.00007925378,0.000007219839,0.00002146406,0.001142632,0.000007139306,0.007662938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478273,"threshold_uncertainty_score":0.07757312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006194399679735063,"score_gpt":0.1940263346294227,"score_spread":0.1878319349496876,"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."}}