{"id":"W4249766982","doi":"10.2460/javma.255.12.1339","title":"What Is Your Diagnosis?","year":2019,"lang":"en","type":"article","venue":"Journal of the American Veterinary Medical Association","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007909012,0.00009435228,0.0003762028,0.00005910276,0.00004041085,0.00003307046,0.0001795158,0.00006777939,0.001025547],"category_scores_gemma":[0.0007263831,0.00005618405,0.0002852902,0.0002745938,0.00004956263,0.0002458663,0.00005156372,0.0004807205,0.0001660277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311518,"about_ca_system_score_gemma":0.0001706628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009024533,"about_ca_topic_score_gemma":2.485082e-7,"domain_scores_codex":[0.9977664,0.0001536337,0.0004028758,0.0001007422,0.001407433,0.0001689589],"domain_scores_gemma":[0.99817,0.0002245494,0.00104459,0.0001728556,0.0002122179,0.0001758318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009813604,0.0004518123,0.8261426,0.00006285056,0.0004130878,0.0002035151,0.0004166046,0.00000731733,0.01510129,0.00001215714,0.08605728,0.07015014],"study_design_scores_gemma":[0.002107744,0.003627446,0.7041591,0.001016248,0.0001399589,0.001267887,0.0008370626,0.0002505705,0.003224867,0.00005511532,0.2831631,0.0001508078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419992,0.0002641821,0.000019293,0.05512081,0.002169251,0.00009763145,0.000001484052,0.000009771002,0.0003184121],"genre_scores_gemma":[0.9749122,0.001860227,0.00009037284,0.01932322,0.0006859254,0.000003101703,8.21844e-7,0.00001161613,0.003112527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1971059,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202295963635985,"score_gpt":0.3174144491322855,"score_spread":0.297184852768687,"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."}}