{"id":"W7126879788","doi":"","title":"UVEITIS IN AN 8-YEAR-OLD GOLDEN RETRIEVER","year":2017,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Uveitis; Multiple myeloma; Differential diagnosis; Labrador Retriever; Uvea; Eye disease; Glaucoma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002377624,0.001093249,0.0008631138,0.001633822,0.001710706,0.0009811728,0.0007081979,0.002595465,0.001711149],"category_scores_gemma":[0.001051766,0.0006389539,0.0008625922,0.0005290557,0.0007290575,0.0009294859,0.000938508,0.001664028,0.0008809306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249055,"about_ca_system_score_gemma":0.0004551747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417065,"about_ca_topic_score_gemma":0.006805736,"domain_scores_codex":[0.9996639,0.00002175803,0.00003609069,0.00009164406,0.00006330248,0.0001232723],"domain_scores_gemma":[0.9996358,0.00005432593,0.00008053261,0.00002470235,0.00003020073,0.0001744666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00004873732,0.0001332215,0.01532543,0.00002216473,0.000009594221,0.979905,0.0002849434,0.0000376592,0.002476896,0.00009060789,0.0002883503,0.001377446],"study_design_scores_gemma":[0.00001322836,0.0003616713,0.0217326,0.00003688622,0.00001748,0.9757983,0.0002931005,0.0002052547,0.0004053085,0.00006757506,0.001053215,0.00001536761],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854991,0.003086624,0.0006027625,0.001328598,0.0003504954,0.00006654434,0.0001605991,0.0001119715,0.008793262],"genre_scores_gemma":[0.9945339,0.001331763,0.0004879159,0.0006534411,0.0002715777,0.00001192433,0.0001059266,0.00001356655,0.002589916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003417065,"threshold_uncertainty_score":0.009062588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856328667784859,"score_gpt":0.2173068993673363,"score_spread":0.1787436126894877,"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."}}