{"id":"W2969079260","doi":"","title":"Precision feeding of lactating sows: development of a decision support tool to handle variability","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Nutrient; Litter; Animal science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002385689,0.000665226,0.0008522089,0.000893673,0.0003008027,0.001189866,0.001344616,0.0009593415,0.004676526],"category_scores_gemma":[0.006119802,0.0003361194,0.0004255498,0.0005474626,0.0002112171,0.001006627,0.0007291214,0.0005303794,0.001074735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003062016,"about_ca_system_score_gemma":0.000816537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507435,"about_ca_topic_score_gemma":0.001870657,"domain_scores_codex":[0.999456,0.0001458797,0.00004750968,0.0001460189,0.0001608675,0.00004369865],"domain_scores_gemma":[0.9959352,0.002536508,0.0003584513,0.0002671895,0.0006789417,0.0002236618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002684357,0.0008313633,0.02733564,0.0004651803,0.0002103835,0.0004056558,0.0006256411,0.03919167,0.07848863,0.001523937,0.005995082,0.8422425],"study_design_scores_gemma":[0.0002344293,0.001135491,0.02446123,0.0001572369,0.0003426063,0.0003623198,0.0004169568,0.8896221,0.06990498,0.004869044,0.008364161,0.0001293911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1989982,0.0002120834,0.7854081,0.0004371985,0.0001123119,0.0004569267,0.0007304242,0.01096274,0.002682151],"genre_scores_gemma":[0.4449048,0.0001553817,0.5514246,0.0001816163,0.00004774858,0.0003732339,0.0005643494,0.0002715535,0.002076658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004676526,"threshold_uncertainty_score":0.01564455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04308577937646652,"score_gpt":0.3140701359453661,"score_spread":0.2709843565688996,"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."}}