{"id":"W3013937128","doi":"10.1111/vcp.12835","title":"The multivariate predictive model to estimate ionized calcium concentration from serum biochemical results in dogs: External validation","year":2020,"lang":"en","type":"article","venue":"Veterinary Clinical Pathology","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pica (typography); Logistic regression; Reference range; Medicine; Internal medicine; Calcium metabolism; Gastroenterology; Calcium","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02070934,0.001419664,0.001057429,0.002210674,0.0004552133,0.001096986,0.001293653,0.0007279009,0.001352157],"category_scores_gemma":[0.02886234,0.0004245769,0.001579824,0.001250211,0.0005624351,0.0006912124,0.001092226,0.001552306,0.0005210862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008795862,"about_ca_system_score_gemma":0.001740824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005902451,"about_ca_topic_score_gemma":0.002445285,"domain_scores_codex":[0.9956541,0.002910249,0.0002220961,0.0005971919,0.0004322606,0.0001840752],"domain_scores_gemma":[0.9749278,0.02056021,0.001215116,0.001067306,0.001915104,0.0003145718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003341783,0.0008243187,0.6057034,0.0002349317,0.001633669,0.0002751097,0.0001926761,0.2852667,0.001979929,0.0008173408,0.002599258,0.09713097],"study_design_scores_gemma":[0.0001263374,0.0005467079,0.04635292,0.00005063757,0.0002226265,0.0001707656,0.00004889927,0.9506016,0.0007624338,0.0006329995,0.0004597727,0.0000242305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784049,0.001047465,0.1164953,0.0004072621,0.0001026961,0.0003008948,0.001295286,0.0005844424,0.00136173],"genre_scores_gemma":[0.9816614,0.0002052505,0.01637311,0.00006149092,0.00003284261,0.0001651094,0.001218862,0.00004147373,0.0002403366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02070934,"threshold_uncertainty_score":0.1095228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424367836763701,"score_gpt":0.4432318908599837,"score_spread":0.3007951071836136,"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."}}