{"id":"W2063394673","doi":"10.1053/tvjl.2000.0481","title":"Optimization of Bovine Reproduction Efficiency","year":2000,"lang":"en","type":"letter","venue":"The Veterinary Journal","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Herd; Biology; Ice calving; Serotype; Veterinary medicine; Titer; Direct agglutination test; Animal science; Seroprevalence; Odds ratio; Neospora caninum; Leptospira; Antibody; Pregnancy; Medicine; Virology; Virus; Serology; Immunology; Internal medicine","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":[0.001271429,0.0002356044,0.0003476756,0.0002289105,0.0003348827,0.001118191,0.0006061126,0.0036973,0.00479722],"category_scores_gemma":[0.003950483,0.0001469478,0.0002926309,0.0002663494,0.0004221375,0.000381473,0.0003269934,0.001760244,0.001339141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009842615,"about_ca_system_score_gemma":0.000585608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734668,"about_ca_topic_score_gemma":0.002923956,"domain_scores_codex":[0.9994091,0.0002101988,0.00004326263,0.00007936252,0.0001739355,0.00008422771],"domain_scores_gemma":[0.9987441,0.0006507279,0.0001133766,0.0001301614,0.0002284282,0.0001331212],"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":[0.003787773,0.0005566578,0.02039113,0.0006105369,0.0002103843,0.002965576,0.0003184248,0.01199441,0.09462186,0.03939376,0.2844883,0.5406611],"study_design_scores_gemma":[0.0005667051,0.00159923,0.05129612,0.0003085832,0.0001497771,0.009400482,0.0003969972,0.01801623,0.03225893,0.03064567,0.8552629,0.00009835615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1764844,0.0382874,0.03766729,0.5572574,0.01190691,0.0001569109,0.0004133025,0.0006972086,0.1771292],"genre_scores_gemma":[0.8124632,0.007529051,0.01245978,0.0998504,0.008776115,0.00009201496,0.0002428983,0.000167226,0.05841932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00479722,"threshold_uncertainty_score":0.01604831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104736322519313,"score_gpt":0.2513915455196019,"score_spread":0.2003441822944088,"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."}}