{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001692492,0.0001613738,0.0004030025,0.0001738438,0.0001943867,0.00001684913,0.0001741194,0.00004571734,0.00008570392],"category_scores_gemma":[0.000999258,0.0001224138,0.00007584384,0.000152851,0.002833122,0.00011062,0.00009345442,0.0002035731,0.00001529753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217519,"about_ca_system_score_gemma":0.0005036608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004489736,"about_ca_topic_score_gemma":0.00001282445,"domain_scores_codex":[0.9987536,0.00009303964,0.0002400087,0.0003576566,0.0001828867,0.0003728035],"domain_scores_gemma":[0.9987057,0.0001040282,0.0001914803,0.0004585507,0.0001989824,0.0003412124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006327084,0.00007265699,0.9518868,0.0001113947,0.00003094699,0.0004214434,0.0003922354,0.000004136629,0.01187327,0.0003073522,0.001094072,0.033173],"study_design_scores_gemma":[0.003069555,0.0002513846,0.9804645,0.0002350671,0.00007634524,0.00003667555,0.00003848518,0.0006862771,0.01041885,0.002263933,0.002333111,0.0001258121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145694,0.07639626,0.000003065474,0.007034956,0.0001354743,0.0006823901,0.0001063219,0.00002638342,0.001045771],"genre_scores_gemma":[0.993513,0.00250455,0.0006397981,0.0002611135,0.0001086218,0.0001963767,0.00001767425,0.00002134429,0.002737511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07894363,"threshold_uncertainty_score":0.9998806,"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."}}