{"id":"W4224224988","doi":"10.2460/javma.20.12.0704","title":"What Is Your Diagnosis?","year":2022,"lang":"en","type":"article","venue":"Journal of the American Veterinary Medical Association","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Occupational Cancer Research Centre","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":[0.002814537,0.0001150193,0.0004941788,0.000144119,0.0002638169,0.00003043332,0.0005349428,0.00006285795,0.002331036],"category_scores_gemma":[0.001295204,0.00008105212,0.0003505287,0.0005832044,0.0001645212,0.0002290673,0.0005418031,0.001427385,0.00002420931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454115,"about_ca_system_score_gemma":0.0005678996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000170495,"about_ca_topic_score_gemma":4.664888e-7,"domain_scores_codex":[0.9950896,0.0009321902,0.0005430407,0.0001469292,0.00297076,0.0003174743],"domain_scores_gemma":[0.9975641,0.0004806881,0.001211866,0.0002494706,0.000236342,0.0002575261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004253329,0.002449449,0.5721629,0.00007200569,0.001238161,0.00595495,0.002814821,0.00002450152,0.01196422,0.00001058677,0.2416955,0.1573595],"study_design_scores_gemma":[0.002757182,0.02253026,0.4577107,0.0001856914,0.0002186737,0.03396755,0.004063965,0.0002890526,0.0001209289,0.0001134644,0.47785,0.000192469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716911,0.0003957075,0.00001010425,0.1260408,0.001550326,0.0001487058,0.000005225654,0.00001136475,0.0001466558],"genre_scores_gemma":[0.9818495,0.001239583,0.0002343108,0.01390751,0.0006660444,0.00004048495,0.000001521629,0.00002246987,0.002038569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2361546,"threshold_uncertainty_score":0.998581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05972144939186745,"score_gpt":0.4010136190773961,"score_spread":0.3412921696855287,"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."}}