{"id":"W4406216094","doi":"10.2460/ajvr.24.10.0289","title":"Machine learning models provide modest accuracy in predicting clinical impact of porcine reproductive and respiratory syndrome type 2 in Canadian sow herds","year":2025,"lang":"en","type":"article","venue":"American Journal of Veterinary Research","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Guelph","funders":"","keywords":"Outbreak; Herd; Porcine reproductive and respiratory syndrome virus; Abortion; Medicine; Veterinary medicine; Biology; Virus; Virology; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003993949,0.0008031819,0.0004711308,0.0005255432,0.0004526433,0.0009146747,0.0007801637,0.0005406909,0.0007085577],"category_scores_gemma":[0.01375271,0.0002556976,0.000473103,0.0004670715,0.0004460223,0.0005836772,0.0003851997,0.0004917139,0.0003014179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00318245,"about_ca_system_score_gemma":0.003443977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4150919,"about_ca_topic_score_gemma":0.533993,"domain_scores_codex":[0.9989549,0.0003975825,0.000057809,0.0002099729,0.0002319722,0.0001478385],"domain_scores_gemma":[0.9971473,0.001566793,0.0003370241,0.0002197318,0.000611215,0.0001180377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005667401,0.0001271377,0.8861657,0.00008227596,0.0003234314,0.00007370655,0.0001748299,0.06560703,0.001781307,0.0001690132,0.001311319,0.04361759],"study_design_scores_gemma":[0.00005141885,0.0004405533,0.5682958,0.00007511605,0.0001470371,0.00007782273,0.0003246699,0.4270739,0.001488986,0.0005797285,0.001409909,0.00003504796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922742,0.0004297083,0.004776188,0.000283569,0.00002046662,0.00003008851,0.0008285184,0.0001264678,0.001230679],"genre_scores_gemma":[0.9966998,0.0001011142,0.002048023,0.00003987575,0.000007082593,0.000007438111,0.00075875,0.000004529023,0.0003334483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5849081,"threshold_uncertainty_score":0.8253515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2261482072974634,"score_gpt":0.4567289506662456,"score_spread":0.2305807433687823,"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."}}