{"id":"W2900134403","doi":"10.1016/j.prevetmed.2018.11.003","title":"Accuracy of leukocyte esterase test, endometrial cytology and vaginal discharge score for diagnosing postpartum reproductive tract health status in dairy cows at the moment of sampling, using a latent class model fit within a Bayesian framework","year":2018,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Fonds de Recherche du Québec – Nature et Technologies; Vector Institute; Cegep de Saint Hyacinthe","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Gynecology; Insemination; Credible interval; Herd; Statistics; Obstetrics; Confidence interval; Veterinary medicine; Mathematics; Internal medicine; Andrology","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":[0.007995764,0.0003571441,0.0006476247,0.0009096854,0.0003066024,0.000913448,0.0006307187,0.001011042,0.0004632666],"category_scores_gemma":[0.01469326,0.0003957655,0.0006906573,0.0003061646,0.0003730907,0.0006045307,0.0005147934,0.0004916722,0.0001937507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175383,"about_ca_system_score_gemma":0.0006940707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006235349,"about_ca_topic_score_gemma":0.006197273,"domain_scores_codex":[0.998231,0.001026469,0.000128258,0.0002564624,0.0002095352,0.0001482573],"domain_scores_gemma":[0.9888127,0.009088092,0.0008232702,0.0004397189,0.0005481965,0.0002879845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001557089,0.0001902963,0.9736941,0.00003156575,0.000249818,0.00004068917,0.0001442896,0.007460542,0.0009917466,0.00008737747,0.0000987881,0.01545381],"study_design_scores_gemma":[0.0000925534,0.0008072232,0.6336848,0.00004548807,0.0005732925,0.000282865,0.0003018217,0.3620566,0.001273495,0.0006494726,0.0001902178,0.00004218083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953257,0.0002977538,0.003944221,0.0000809708,0.000004977572,0.000008239989,0.0001130831,0.00002185544,0.0002031351],"genre_scores_gemma":[0.9985957,0.00006842274,0.001105536,0.00001196384,0.000004329105,0.00000341069,0.0001372132,0.000001803084,0.00007161975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007995764,"threshold_uncertainty_score":0.04228616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1352569907610393,"score_gpt":0.3737348266570839,"score_spread":0.2384778358960447,"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."}}