{"id":"W2337275409","doi":"10.1007/s00247-016-3606-y","title":"Simulated impact of pelvic MRI in treatment planning for pediatric adnexal masses","year":2016,"lang":"en","type":"article","venue":"Pediatric Radiology","topic":"Urinary and Genital Oncology Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"University of Toronto","keywords":"Medicine; Adnexal mass; Laparotomy; Neuroradiology; Cystectomy; Magnetic resonance imaging; Radiology; Laparoscopy; Oophorectomy; Surgery; Hysterectomy; Bladder cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005598598,0.0005561782,0.0003053894,0.0004067601,0.0002976575,0.00108688,0.0007244501,0.001037512,0.002982066],"category_scores_gemma":[0.007242233,0.0004863456,0.0004409235,0.0003011192,0.0004497289,0.0003927076,0.0009255061,0.0005262581,0.0002955669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007747064,"about_ca_system_score_gemma":0.001105753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009150299,"about_ca_topic_score_gemma":0.007326336,"domain_scores_codex":[0.9995858,0.0002275596,0.0000209087,0.00003244078,0.00008774134,0.00004570378],"domain_scores_gemma":[0.9975315,0.00194501,0.0001304485,0.00008175303,0.0001603213,0.0001509602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000921232,0.0002136445,0.01062997,0.00009323347,0.00004727669,0.001224655,0.0002044484,0.9655324,0.007584832,0.0007013762,0.000751765,0.01209521],"study_design_scores_gemma":[0.0001920593,0.0008573174,0.009437686,0.00005357626,0.00008683879,0.0009177136,0.0002419774,0.9758169,0.009299479,0.00102581,0.002013761,0.00005694483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353322,0.0009182139,0.04836012,0.001050497,0.0001452516,0.0003525682,0.001061819,0.0007207707,0.01205858],"genre_scores_gemma":[0.9882166,0.000172309,0.01033327,0.00008753793,0.00001337241,0.00005408373,0.000253911,0.0000852003,0.0007836634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009150299,"threshold_uncertainty_score":0.01819408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694141680688803,"score_gpt":0.3643806773253151,"score_spread":0.3274392605184271,"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."}}