{"id":"W2073538288","doi":"10.1148/radiol.10091147","title":"Prostate Cancer Managed with Active Surveillance: Role of Anatomic MR Imaging and MR Spectroscopic Imaging","year":2010,"lang":"en","type":"article","venue":"Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Université Laval","keywords":"Medicine; Prostate cancer; Magnetic resonance imaging; Prostate; Radiology; Hazard ratio; Malignancy; Cancer; Retrospective cohort study; Confidence interval; Prostate-specific antigen; Institutional review board; Biopsy; Transrectal ultrasonography; Cohort; Internal medicine; Surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002000368,0.0002092634,0.0004890281,0.0005217022,0.0003403301,0.0008873918,0.00044165,0.0003151567,0.0008659117],"category_scores_gemma":[0.00941162,0.0001562788,0.0003971669,0.0005674814,0.0004336545,0.0007752916,0.0004451749,0.0003889024,0.00006726938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370948,"about_ca_system_score_gemma":0.0005984078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010193,"about_ca_topic_score_gemma":0.001972352,"domain_scores_codex":[0.9989488,0.0005250845,0.00006398162,0.0001370583,0.0002556321,0.00006956872],"domain_scores_gemma":[0.9942492,0.002804296,0.001978046,0.0002444531,0.0002883643,0.0004356579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003238432,0.00004191916,0.9836235,0.00003213585,0.00007994162,0.0001103988,0.00005018594,0.00009184839,0.0001441195,0.00004267352,0.00005644058,0.015403],"study_design_scores_gemma":[0.00004165254,0.0007722264,0.9914057,0.0001550274,0.0003155377,0.003472772,0.0002764522,0.002207859,0.0002319398,0.0002063132,0.0009003461,0.00001420553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882877,0.009956066,0.0004841659,0.0002896777,0.00002699211,0.00001518725,0.00006466863,0.000008004033,0.0008674863],"genre_scores_gemma":[0.9982516,0.001255325,0.0002456037,0.00003118287,0.00007923697,0.000002950318,0.00007825164,0.000002159157,0.00005372881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000368,"threshold_uncertainty_score":0.01057905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003289163497076456,"score_gpt":0.250373811036692,"score_spread":0.2470846475396156,"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."}}