{"id":"W2754629144","doi":"10.1097/rli.0000000000000415","title":"Multiparametric Magnetic Resonance Imaging of Prostate Cancer Bone Disease","year":2017,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Stand Up To Cancer; Prostate Cancer Foundation; Prostate Cancer UK; Cancer Research UK; Royal Marsden NHS Foundation Trust; Medical Research Council; Movember Foundation","keywords":"Medicine; Prostate cancer; Magnetic resonance imaging; Effective diffusion coefficient; Bone marrow; Biopsy; Imaging biomarker; Bone metastasis; Pathology; Prostate; Cancer; Univariate analysis; Diffusion MRI; Nuclear medicine; Radiology; Internal medicine; Multivariate analysis","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":[0.0003038557,0.0002374688,0.0001473493,0.000629368,0.00009159736,0.0003046348,0.0002021398,0.0001728042,0.000966973],"category_scores_gemma":[0.001183973,0.00008096332,0.000138367,0.0003118448,0.0001172684,0.0001271099,0.0002215344,0.0001749272,0.0002694391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170803,"about_ca_system_score_gemma":0.000144941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005612256,"about_ca_topic_score_gemma":0.001050467,"domain_scores_codex":[0.9998022,0.00006169395,0.00002025578,0.00003423401,0.00005967119,0.00002196198],"domain_scores_gemma":[0.9995283,0.00009171468,0.0002406003,0.00002144962,0.00007278111,0.00004522221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003614284,0.00007762299,0.9360639,0.0002073908,0.0001797116,0.0008740893,0.00006776721,0.0004753665,0.02333583,0.00008741047,0.0003666215,0.0379028],"study_design_scores_gemma":[0.00002034852,0.0003353819,0.9813183,0.00002812518,0.00008535895,0.01156226,0.00005325106,0.001082864,0.004054474,0.00009128677,0.001358432,0.000009970601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908324,0.005877099,0.001842948,0.00008127296,0.000008965352,0.0000223212,0.0001952035,0.00003080857,0.001109027],"genre_scores_gemma":[0.9985089,0.000471117,0.0006745119,0.0000247077,0.00002064831,0.000007238942,0.0001310719,0.000002238302,0.0001595828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000966973,"threshold_uncertainty_score":0.003234804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043739243829185,"score_gpt":0.3469870997654743,"score_spread":0.3032478559362893,"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."}}