{"id":"W2913566273","doi":"10.1016/j.prevetmed.2019.02.003","title":"Diagnostic performance of direct and indirect methods for assessing failure of transfer of passive immunity in dairy calves using latent class analysis","year":2019,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal health and immunology","field":"Veterinary","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"Atlantic Canada Opportunities Agency; Zoetis","keywords":"Refractometer; Brix; Veterinary medicine; Dairy cattle; Latent class model; Animal science; Medicine; Biology; Mathematics; Food science; Statistics; Materials science","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":[0.004069687,0.0008281852,0.0005176446,0.00162276,0.0003249525,0.001170216,0.0009134371,0.001071922,0.0005279321],"category_scores_gemma":[0.005318811,0.0003823517,0.0004208002,0.0004778101,0.0008446251,0.0006016552,0.0006315109,0.001004796,0.0003096112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803245,"about_ca_system_score_gemma":0.0004042519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228661,"about_ca_topic_score_gemma":0.002666677,"domain_scores_codex":[0.996964,0.001016791,0.0001662392,0.000598662,0.0008497151,0.0004044922],"domain_scores_gemma":[0.9933066,0.004294268,0.0008598552,0.0003318542,0.0008518519,0.0003555549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003774704,0.0004771172,0.8028322,0.0001764393,0.0001780889,0.0001010234,0.0006608556,0.000647465,0.1654565,0.0002360681,0.0001110426,0.02534856],"study_design_scores_gemma":[0.0001673248,0.007555422,0.7392924,0.0001285066,0.000807545,0.00198856,0.001204739,0.0388888,0.2083369,0.0004809336,0.001042412,0.000106458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927227,0.0005682607,0.005825208,0.00001802148,0.00001678603,0.00002764853,0.0001155894,0.00004040184,0.000665403],"genre_scores_gemma":[0.9960156,0.0001478308,0.003370663,0.00002196305,0.000007547193,0.00002483723,0.0001393349,0.000005880855,0.0002662554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004069687,"threshold_uncertainty_score":0.02152282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09127514970957966,"score_gpt":0.425142038960929,"score_spread":0.3338668892513493,"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."}}