{"id":"W4245604915","doi":"10.3168/jds.2020-19585","title":"The hidden cost of disease: II. Impact of the first incidence of lameness on production and economic indicators of primiparous dairy cows","year":2021,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Ste. Anne's Hospital; McGill University","funders":"Agriculture and Agri-Food Canada; Health Canada; Fonds de recherche du Québec – Nature et technologies; Novalait; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Lameness; Lactation; Culling; Herd; Animal science; Medicine; Dairy cattle; Milk production; Ice calving; Cumulative incidence; Veterinary medicine; Biology; Internal medicine; Pregnancy; Surgery","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":[0.003262189,0.0002761537,0.0004534445,0.001031943,0.0003201942,0.001209601,0.0007584322,0.0006309346,0.001950172],"category_scores_gemma":[0.01128643,0.0002583449,0.0008166852,0.001027724,0.0005206433,0.001129354,0.001301519,0.0005918516,0.0001685991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001207,"about_ca_system_score_gemma":0.0007317121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005340839,"about_ca_topic_score_gemma":0.01108802,"domain_scores_codex":[0.9965023,0.001690373,0.0002982028,0.0003905517,0.000660732,0.0004578536],"domain_scores_gemma":[0.990045,0.003774185,0.004523351,0.000652173,0.0006004648,0.0004048069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003766374,0.000102129,0.989751,0.0001088554,0.0001923249,0.0001237576,0.00008062064,0.0007804433,0.000658084,0.0001211662,0.00009269128,0.00761219],"study_design_scores_gemma":[0.000004323457,0.0003251048,0.9981493,0.0000282821,0.00005665611,0.0001494718,0.00008892991,0.0008366148,0.0001439657,0.00006385449,0.0001488371,0.000004744763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968272,0.001116838,0.0003832151,0.0001590294,0.000008678917,0.00001930974,0.0008796481,0.000003484325,0.0006025672],"genre_scores_gemma":[0.9985628,0.0003011409,0.0004036339,0.00003088786,0.00001433099,0.00001575061,0.0004364783,0.000001740355,0.0002333163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005340839,"threshold_uncertainty_score":0.01725233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869284717136088,"score_gpt":0.3241921339399358,"score_spread":0.2954992867685749,"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."}}