{"id":"W4236652313","doi":"10.5489/cuaj.96","title":"Location, location, location: prostate biopsies and MRIs","year":2012,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate; Medicine; Radiology; Internal medicine; Cancer","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":[0.000826655,0.0007291492,0.0004317377,0.001807281,0.0003624142,0.001270119,0.0004914838,0.001037935,0.02061533],"category_scores_gemma":[0.004208694,0.0003073572,0.000365417,0.001887372,0.000503601,0.001214793,0.0007064746,0.0008405029,0.006912223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000981473,"about_ca_system_score_gemma":0.001240199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02850324,"about_ca_topic_score_gemma":0.05659556,"domain_scores_codex":[0.9995197,0.0001194278,0.00005651806,0.00005842869,0.0001833424,0.00006257148],"domain_scores_gemma":[0.9991214,0.0001452134,0.0002602254,0.00005437622,0.0002435637,0.0001752706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000695659,0.00016938,0.1517383,0.001226252,0.0001199051,0.003664071,0.0001604123,0.001084984,0.00184588,0.002298831,0.1987438,0.6382525],"study_design_scores_gemma":[0.000105464,0.0005139675,0.6335202,0.002794408,0.0003378121,0.06547239,0.0009065566,0.001968283,0.001939922,0.00921627,0.2830034,0.0002213158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1777315,0.3135402,0.03815978,0.08491459,0.006986687,0.0008081859,0.02810502,0.004640274,0.3451138],"genre_scores_gemma":[0.6760364,0.1493955,0.04641324,0.009539006,0.008738745,0.0001645168,0.01084094,0.000693388,0.09817824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02850324,"threshold_uncertainty_score":0.0689652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317364017262371,"score_gpt":0.2378300911131352,"score_spread":0.2246564509405115,"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."}}