{"id":"W2528307618","doi":"10.3168/jds.2016-11345","title":"Mortality risk factors for calves entering a multi-location white veal farm in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal health and immunology","field":"Veterinary","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Dairy Farmers of Ontario","keywords":"White (mutation); Animal science; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006651221,0.00007785916,0.0001573985,0.0001183498,0.0001392415,0.00001468476,0.0002899202,0.00003244837,0.00003016589],"category_scores_gemma":[0.000378306,0.00005025709,0.00003705877,0.0001448203,0.0001286596,0.0003939199,0.00004239086,0.0001648749,9.535332e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969309,"about_ca_system_score_gemma":0.002416672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8046976,"about_ca_topic_score_gemma":0.9443976,"domain_scores_codex":[0.9988744,0.00003773131,0.0004073617,0.0001417101,0.0002264781,0.0003123675],"domain_scores_gemma":[0.9991721,0.00009311,0.0003406727,0.0001119004,0.000159178,0.0001230348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000394988,0.00004198267,0.9854755,0.00001163014,0.000006647677,0.00001731944,0.0009491743,0.000008617686,0.01109443,0.00002013272,0.00004443225,0.001935148],"study_design_scores_gemma":[0.0005742992,0.0009050067,0.996873,0.00005279813,0.000004733081,0.00004593161,0.0003897042,0.0001511892,0.0002467258,0.00003448272,0.0006583605,0.00006374593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962394,0.00004485829,0.00277207,0.0001089927,0.0006787424,0.0000983037,0.00001289734,0.000003231129,0.00004146207],"genre_scores_gemma":[0.9989977,0.000007709465,0.0008228857,0.00005149166,0.00002888302,0.000002204718,3.172592e-7,0.000003780463,0.00008496654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396999,"threshold_uncertainty_score":0.4287072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08497805087022708,"score_gpt":0.3472750629526621,"score_spread":0.262297012082435,"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."}}