{"id":"W4414486941","doi":"10.3390/ani15192780","title":"Multiblock Analysis of Risk Factors and Management Areas of Calf Mortality in Large-Scale Dairy Herds","year":2025,"lang":"en","type":"article","venue":"Animals","topic":"Animal health and immunology","field":"Veterinary","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Rural Affairs; Eesti Teadusagentuur","keywords":"Herd; Ice calving; Variables; Mortality rate; Variable (mathematics); Risk of mortality; Estonian","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00275468,0.0003252355,0.0006305694,0.001539907,0.0003561312,0.0005874867,0.0005951466,0.0003532129,0.002273216],"category_scores_gemma":[0.00382391,0.0002976444,0.001093505,0.001303835,0.0002163024,0.0004242506,0.001517958,0.0003628847,0.0004763517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006030544,"about_ca_system_score_gemma":0.0008463072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353855,"about_ca_topic_score_gemma":0.02975947,"domain_scores_codex":[0.9982184,0.0009322602,0.0001028937,0.0004225063,0.0001491329,0.0001748466],"domain_scores_gemma":[0.9965112,0.002036386,0.000456729,0.0003677499,0.0004013839,0.0002265501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004310979,0.000154508,0.9584603,0.000184288,0.0006196187,0.0001149163,0.0006806927,0.007102017,0.004140583,0.0003328271,0.001002427,0.02677673],"study_design_scores_gemma":[0.000009893757,0.0001401154,0.9821321,0.00002662649,0.00009750279,0.00005030405,0.0004306191,0.01566776,0.000231792,0.0001751148,0.001026383,0.00001176936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851527,0.0003126047,0.009626533,0.00007294716,0.00001150291,0.00006234838,0.004320384,0.00006050381,0.0003805149],"genre_scores_gemma":[0.9776008,0.0001702171,0.01020559,0.00002883962,0.00001123129,0.0002145773,0.01065605,0.00002566395,0.001086919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02353855,"threshold_uncertainty_score":0.04680312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03925959147415792,"score_gpt":0.3639200972745519,"score_spread":0.324660505800394,"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."}}