{"id":"W3092755610","doi":"10.1016/j.rvsc.2020.10.012","title":"Common and specific mineral and metabolic features in dairy cows with clinical metritis, hypocalcaemia or ketosis","year":2020,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Universitat de Lleida; Alberta Agriculture and Forestry; Canada Research Chairs; Alberta Innovates; University of Alberta; University of Saskatchewan","keywords":"Metritis; Ketosis; Hypocalcaemia; NEFA; Internal medicine; Endocrinology; Dairy cattle; Ice calving; Postpartum period; Medicine; Albumin; Haptoglobin; Lactation; Chemistry; Animal science; Diabetes mellitus; Biology; Insulin; Calcium; Pregnancy","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":[0.0002878269,0.0003274575,0.0003965253,0.00171305,0.0005201984,0.0004786514,0.0003271264,0.0005854451,0.001417155],"category_scores_gemma":[0.00139608,0.000214875,0.0003302648,0.001085263,0.0004709781,0.0003086739,0.0005057949,0.0003038119,0.0001145168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003440345,"about_ca_system_score_gemma":0.0003170164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919228,"about_ca_topic_score_gemma":0.004472625,"domain_scores_codex":[0.9997016,0.00003740573,0.00004409583,0.00007079201,0.0000539083,0.00009221685],"domain_scores_gemma":[0.9993078,0.0001466417,0.0002948,0.00003018055,0.00005039288,0.000170179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002587451,0.0001265499,0.9649745,0.00008190099,0.0000691215,0.01154467,0.0003396541,0.0001055176,0.01102254,0.0000875152,0.0001508182,0.00890973],"study_design_scores_gemma":[0.00002121192,0.000384707,0.970953,0.00001461982,0.0000592348,0.02637614,0.0006869159,0.0002807785,0.0007923965,0.000167249,0.0002521668,0.00001141764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991016,0.0002683746,0.00008674079,0.0000304625,0.000004688304,0.000005022822,0.0001057123,0.000003605187,0.0003937071],"genre_scores_gemma":[0.9995503,0.00009095887,0.00009851155,0.00001809629,0.000008955437,0.00000268903,0.0001273704,0.000001430194,0.0001016217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002919228,"threshold_uncertainty_score":0.005804539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2372689028373101,"score_gpt":0.4086177464407725,"score_spread":0.1713488436034624,"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."}}