{"id":"W2789290377","doi":"10.1007/s00330-018-5324-3","title":"Are growth patterns on MRI in small (&lt; 4 cm) solid renal masses useful for predicting benign histology?","year":2018,"lang":"en","type":"article","venue":"European Radiology","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Chromophobe cell; Neuroradiology; Oncocytoma; Clear cell; Angiomyolipoma; Interventional radiology; Renal oncocytoma; Histology; Radiology; Renal mass; Magnetic resonance imaging; Nuclear medicine; Pathology; Renal cell carcinoma; Kidney; Nephrectomy; Internal medicine; Neurology","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":[0.001318731,0.0006272478,0.0004961757,0.002406922,0.0002228056,0.001119434,0.0006513079,0.001630962,0.001782848],"category_scores_gemma":[0.01212448,0.0004164469,0.0004656266,0.0009658659,0.001199765,0.002463567,0.0002935776,0.0007559314,0.0008647018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106632,"about_ca_system_score_gemma":0.00033881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020744,"about_ca_topic_score_gemma":0.002608151,"domain_scores_codex":[0.9995542,0.0001145247,0.00007779747,0.00004692345,0.00008332572,0.0001232158],"domain_scores_gemma":[0.9950766,0.001931375,0.001360875,0.0002202025,0.0008458028,0.0005651859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005091576,0.00004731863,0.9658868,0.00008848052,0.00005266375,0.004856595,0.00008293241,0.0003342111,0.006139669,0.00009776356,0.000526358,0.02137805],"study_design_scores_gemma":[0.00005026136,0.0005283019,0.9504862,0.0001906792,0.0002818166,0.03402514,0.001109918,0.004359463,0.006268783,0.0006826606,0.001976632,0.00004002655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891054,0.003871819,0.001007352,0.001481029,0.0001198259,0.0000164855,0.0001430055,0.00005893984,0.004196221],"genre_scores_gemma":[0.9974079,0.001139991,0.0007758997,0.0001468291,0.000219211,0.000004227139,0.0001062152,0.000009701873,0.0001900403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002406922,"threshold_uncertainty_score":0.00697422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09048916077804314,"score_gpt":0.3134642086277523,"score_spread":0.2229750478497092,"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."}}