{"id":"W4413843842","doi":"10.1093/jas/skaf303","title":"Early Identification of Individual Nursery Pigs at Risk of Requiring Health Treatment Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Développement du Porc du Québec; University of Guelph; University of Alberta; University of Saskatchewan","funders":"Genome Alberta; Iowa Pork Producers Association; Genome Canada","keywords":"Identification (biology); Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001542297,0.001019399,0.001013913,0.0007149279,0.0002712107,0.0007918351,0.0007800697,0.0009536258,0.0009979388],"category_scores_gemma":[0.002571281,0.0002776606,0.001001947,0.0003028949,0.0002043048,0.0006231314,0.0004420512,0.001150831,0.000420274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004063859,"about_ca_system_score_gemma":0.0006517631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00539546,"about_ca_topic_score_gemma":0.006401079,"domain_scores_codex":[0.9996471,0.00008649821,0.00002628233,0.0001238106,0.00004835692,0.00006779086],"domain_scores_gemma":[0.9982839,0.001004304,0.0002779696,0.00008394919,0.0002529926,0.00009680654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001148641,0.001068066,0.4546579,0.0002077326,0.0003986727,0.0005689986,0.0001387437,0.3984613,0.007562471,0.0004362167,0.003704705,0.1316465],"study_design_scores_gemma":[0.00001731095,0.0005603476,0.06028799,0.00004292652,0.00008137591,0.0001244535,0.00007837189,0.9357133,0.001612176,0.0006999204,0.0007542937,0.00002759973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096926,0.0008795152,0.08426377,0.0006559828,0.000143263,0.0001452332,0.002225752,0.0004518497,0.001542086],"genre_scores_gemma":[0.9775227,0.0003289269,0.01697982,0.0001777119,0.00004798596,0.00009486281,0.003521596,0.00001902316,0.001307351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00539546,"threshold_uncertainty_score":0.01072812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08702038566633313,"score_gpt":0.4001416461397632,"score_spread":0.3131212604734301,"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."}}