{"id":"W3153402073","doi":"10.3168/jds.2020-19584","title":"The hidden cost of disease: I. Impact of the first incidence of mastitis on production and economic indicators of primiparous dairy cows","year":2021,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Ste. Anne's Hospital; McGill University","funders":"Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Canada; Fonds de recherche du Québec – Nature et technologies; Novalait","keywords":"Lactation; Mastitis; Herd; Animal science; Milk production; Cumulative incidence; Dairy cattle; Medicine; Biology; Veterinary medicine; Pregnancy; Internal medicine","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":[0.002940112,0.0002826061,0.0004503664,0.0008050044,0.0003134568,0.001294666,0.0006810887,0.000611681,0.001534633],"category_scores_gemma":[0.01006946,0.0002190662,0.0008636515,0.0008740353,0.0005091388,0.000956931,0.001305908,0.0007085351,0.0001533856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366522,"about_ca_system_score_gemma":0.0005713772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004910604,"about_ca_topic_score_gemma":0.008291978,"domain_scores_codex":[0.9970638,0.001294752,0.000261602,0.0004080027,0.0005682086,0.0004035944],"domain_scores_gemma":[0.9898939,0.003597489,0.004816992,0.0006469227,0.0004968051,0.0005479844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004627621,0.00009020794,0.9918334,0.00006672769,0.0001933361,0.000128308,0.00007492994,0.0004137166,0.0007002783,0.00006551574,0.00005700249,0.005913697],"study_design_scores_gemma":[0.000002902748,0.0002636369,0.9987214,0.00001823129,0.00005101222,0.0001159127,0.00006765579,0.0005201996,0.0001168162,0.00003455052,0.00008406796,0.000003626674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971553,0.001420013,0.0002548643,0.0001490645,0.000009073015,0.000009344844,0.0005206048,0.000002810689,0.0004789518],"genre_scores_gemma":[0.999061,0.0002752016,0.000237696,0.00002446028,0.00001511968,0.000006119773,0.0002436698,0.000001448235,0.0001351669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004910604,"threshold_uncertainty_score":0.015549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826383001288758,"score_gpt":0.2600531252253488,"score_spread":0.2417892952124613,"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."}}