{"id":"W2059995947","doi":"10.1016/j.urology.2008.05.046","title":"Stone Attenuation and Skin-to-Stone Distance on Computed Tomography Predicts for Stone Fragmentation by Shock Wave Lithotripsy","year":2008,"lang":"en","type":"article","venue":"Urology","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":209,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Hounsfield scale; Shock wave lithotripsy; Nuclear medicine; Attenuation; Lithotripsy; Computed tomography; Renal stone; Fragmentation (computing); Radiography; Surgery; Internal medicine; Urinary system","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":[],"consensus_categories":[],"category_scores_codex":[0.0001249171,0.0002439911,0.0004373111,0.0002179306,0.0001965888,0.00000867389,0.00005537985,0.0001748969,0.00002591666],"category_scores_gemma":[0.00007883178,0.0002213819,0.00008836347,0.0002621205,0.0001410178,0.00006552619,0.00002657627,0.0001459793,0.00001745166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006702886,"about_ca_system_score_gemma":0.00003937343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000351641,"about_ca_topic_score_gemma":0.000005967572,"domain_scores_codex":[0.9984384,0.00007134217,0.0003371791,0.0005325491,0.0002555927,0.0003649844],"domain_scores_gemma":[0.9990016,0.0001680927,0.0001335278,0.0002799676,0.0001208591,0.0002959461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0363708,0.01099114,0.6035491,0.0006954747,0.00306316,0.0005988679,0.01600565,0.001012229,0.02976172,0.004102804,0.1941023,0.09974679],"study_design_scores_gemma":[0.01561065,0.01008576,0.9222295,0.00005588071,0.0004854192,0.0004474756,0.00009931504,0.006761985,0.003465977,0.0002555455,0.04005902,0.0004435219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725612,0.000642975,0.02003868,0.004567708,0.0002708779,0.001361487,0.0002177129,0.00009286415,0.0002464461],"genre_scores_gemma":[0.9908993,0.00009454619,0.002145901,0.004997129,0.0001515213,0.0001665661,0.0007638923,0.0000375423,0.000743572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3186804,"threshold_uncertainty_score":0.9027691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932283745005892,"score_gpt":0.2713891829689866,"score_spread":0.2520663455189277,"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."}}