{"id":"W7104265650","doi":"10.71781/4084","title":"Optimisation des méthodes de démarrage dans le dindonneau","year":2017,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relations of production; Production system (computer science); Vetting","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":[0.006130402,0.001318849,0.001374864,0.001543113,0.001768321,0.002337165,0.001605741,0.0007215965,0.004719442],"category_scores_gemma":[0.005924351,0.000570182,0.001151562,0.001882653,0.001145826,0.0007323376,0.001554998,0.0008523944,0.001301322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734609,"about_ca_system_score_gemma":0.005756135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1521807,"about_ca_topic_score_gemma":0.3642322,"domain_scores_codex":[0.9949186,0.001472697,0.0003416245,0.001054076,0.001839225,0.0003737561],"domain_scores_gemma":[0.995582,0.001092924,0.0006978422,0.0003058716,0.002087922,0.0002335031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003672442,0.001067859,0.1744807,0.008180435,0.000699656,0.0004581724,0.009257319,0.00635751,0.1955199,0.001138673,0.001827168,0.5973402],"study_design_scores_gemma":[0.0001690743,0.007383065,0.8606251,0.001508516,0.0007381699,0.0004442997,0.00970822,0.007220998,0.0639324,0.0007635998,0.0471102,0.0003963542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901048,0.009483965,0.08022179,0.0005295248,0.0003036158,0.002305002,0.001662268,0.0004577217,0.01493137],"genre_scores_gemma":[0.6472282,0.007606563,0.3097964,0.0003298469,0.0000664375,0.002258928,0.001926521,0.000249724,0.03053737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1521807,"threshold_uncertainty_score":0.3025898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686820465499716,"score_gpt":0.2018401696079612,"score_spread":0.184971964952964,"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."}}