{"id":"W2922455945","doi":"10.5206/uwomj.v87i2.1137","title":"From Identifying Dog Breeds to Diagnosing Diabetic Retinopathy","year":2019,"lang":"en","type":"article","venue":"University of Western Ontario Medical Journal","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretability; Diabetic retinopathy; Artificial intelligence; Medicine; Deep learning; Empathy; Computer science; Data science; Machine learning; Diabetes mellitus; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001227254,0.0006698176,0.0004693249,0.002565761,0.0009812242,0.00278788,0.0009044765,0.001553921,0.008270921],"category_scores_gemma":[0.007427037,0.0004386945,0.0006403173,0.0008385961,0.001230341,0.001789679,0.001228513,0.00293521,0.002635098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403659,"about_ca_system_score_gemma":0.001458285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03532385,"about_ca_topic_score_gemma":0.05431283,"domain_scores_codex":[0.9993305,0.0001452555,0.00006213344,0.0001670193,0.0001845085,0.0001105342],"domain_scores_gemma":[0.9980091,0.0004960662,0.0002610382,0.0001430928,0.0007964667,0.0002941609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000814755,0.0002656789,0.3685042,0.0006167286,0.0002873328,0.005937453,0.001364787,0.001929438,0.005708255,0.005830889,0.1429536,0.465787],"study_design_scores_gemma":[0.0002275699,0.0007685093,0.3608291,0.006496102,0.001170023,0.06419881,0.0152237,0.02760114,0.02263158,0.08327587,0.4171298,0.0004478076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5633315,0.08806591,0.05401688,0.1573709,0.00534256,0.0003829707,0.006686961,0.0025796,0.1222228],"genre_scores_gemma":[0.8927434,0.03324654,0.0367523,0.01777679,0.001560723,0.00005023343,0.002128519,0.000247897,0.01549368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03532385,"threshold_uncertainty_score":0.0702365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174239839723347,"score_gpt":0.247030166361095,"score_spread":0.2352877679638615,"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."}}