{"id":"W2804971921","doi":"","title":"Development of a decision support tool for precision feeding of pregnant sows","year":2017,"lang":"en","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Institut National de la Recherche Agronomique; European Commission","keywords":"Computer science; Decision support system; Obstetrics; Artificial intelligence; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002140908,0.001057332,0.002099585,0.0004877757,0.0007097755,0.000132013,0.001738577,0.0007485391,0.0001719241],"category_scores_gemma":[0.001508329,0.0009288697,0.0008193068,0.0001463772,0.0003087852,0.0003109595,0.004536726,0.0006566584,0.00002895707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948246,"about_ca_system_score_gemma":0.0009149802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005941779,"about_ca_topic_score_gemma":0.00002856436,"domain_scores_codex":[0.9934615,0.00007984736,0.002607084,0.001620007,0.001236131,0.0009954509],"domain_scores_gemma":[0.9938334,0.0003826902,0.002264978,0.001849146,0.00149211,0.0001777201],"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":[0.01312822,0.002598995,0.02497175,0.01255231,0.001452589,0.0002161072,0.02233476,0.0000615429,0.1035738,0.00298782,0.006368666,0.8097535],"study_design_scores_gemma":[0.0191822,0.01826036,0.5867537,0.04827505,0.005072948,0.0004266263,0.006457036,0.002073581,0.1027117,0.02769598,0.1700801,0.01301075],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652517,0.00210397,0.02001916,0.0001724224,0.001858565,0.006390694,0.0008844615,0.0002327574,0.003086298],"genre_scores_gemma":[0.9091299,0.0003348647,0.08797365,0.00001343618,0.0002830956,0.001317752,0.0002826033,0.0001646048,0.0005000426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7967427,"threshold_uncertainty_score":0.9993162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073780798917965,"score_gpt":0.3891919768162753,"score_spread":0.2818138969244788,"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."}}