{"id":"W4388846876","doi":"10.5489/cuaj.8560","title":"Images – Cutaneous horn of penis","year":2023,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Genital Health and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Penis; French horn; Anatomy; Geology; Computer science; Medicine; Computer vision; Artificial intelligence; Psychology","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":[0.0001783002,0.001151168,0.000609246,0.002278737,0.0008839061,0.0008029309,0.0008313615,0.002810396,0.04685473],"category_scores_gemma":[0.0009413308,0.0004538385,0.0005482924,0.0006847519,0.0005100219,0.001515921,0.0007520391,0.00328241,0.004966388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009495924,"about_ca_system_score_gemma":0.0005608115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006943828,"about_ca_topic_score_gemma":0.00442386,"domain_scores_codex":[0.9997789,0.00002098838,0.0000132636,0.00004630994,0.0000788229,0.00006173772],"domain_scores_gemma":[0.999679,0.00007820302,0.00003777041,0.00003704421,0.00007296939,0.00009507079],"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":[0.0004607659,0.0003069269,0.00491905,0.0005683989,0.00008339085,0.9042899,0.0002641982,0.001147643,0.0152716,0.001616727,0.04154363,0.02952773],"study_design_scores_gemma":[0.00009279028,0.0002661694,0.01547307,0.0003149385,0.00004145132,0.9355536,0.0002463003,0.001814872,0.001968765,0.00105321,0.04313223,0.00004271747],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3526649,0.04523771,0.01426035,0.03933962,0.008688362,0.001874391,0.01444654,0.002850686,0.5206373],"genre_scores_gemma":[0.903653,0.008985439,0.0051743,0.009017314,0.004542158,0.0001509485,0.002186683,0.0001278631,0.06616227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04685473,"threshold_uncertainty_score":0.1567447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383988654110895,"score_gpt":0.2577583157410295,"score_spread":0.2439184291999206,"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."}}