{"id":"W4415571102","doi":"10.1007/s00345-025-05961-2","title":"Comprehensive analysis of 55,213 stones: understanding common morphological associations advances endoscopic stone recognition and AI integration","year":2025,"lang":"en","type":"article","venue":"World Journal of Urology","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"","keywords":"Nephrology; MEDLINE; Urinary stone; Kidney stones; Renal stone","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118343,0.0004950296,0.001274664,0.003620856,0.0008561332,0.001711385,0.0007119481,0.0006626832,0.001567726],"category_scores_gemma":[0.005278514,0.0003295094,0.00168334,0.004014224,0.0003384881,0.0009479473,0.001587487,0.0005818362,0.0005807464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407575,"about_ca_system_score_gemma":0.0023279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006005571,"about_ca_topic_score_gemma":0.01386373,"domain_scores_codex":[0.998238,0.0002392064,0.0003944494,0.0003885243,0.0005342088,0.0002056252],"domain_scores_gemma":[0.9978728,0.0006371699,0.0004799986,0.0002759785,0.0005818134,0.0001522581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003638254,0.0000783501,0.9040286,0.0007329016,0.0009575093,0.001455215,0.0003916495,0.0002773851,0.006609861,0.0003698845,0.002648793,0.08208597],"study_design_scores_gemma":[0.00001817507,0.00008379218,0.9746465,0.0003385435,0.001795059,0.003572601,0.0006634339,0.0007567471,0.002482476,0.0008109804,0.01479202,0.00003973744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450688,0.03073355,0.009339148,0.0007748686,0.00007471717,0.0001124969,0.009929917,0.0002779603,0.003688622],"genre_scores_gemma":[0.9680627,0.007691387,0.01006061,0.0005084887,0.00007963429,0.00006467163,0.01228706,0.0001176644,0.001127683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006005571,"threshold_uncertainty_score":0.01194125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05877296778106427,"score_gpt":0.3481803922299979,"score_spread":0.2894074244489336,"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."}}