{"id":"W2467451464","doi":"10.18632/oncotarget.10523","title":"Association of multiparametric MRI quantitative imaging features with prostate cancer gene expression in MRI-targeted prostate biopsies","year":2016,"lang":"en","type":"article","venue":"Oncotarget","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"National Cancer Institute; National Institutes of Health","keywords":"Miami; Prostate cancer; Radiogenomics; Medicine; Cancer; Oncology; Internal medicine; Pathology; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005841586,0.0002031584,0.0004467981,0.0003685048,0.00006286686,0.00001984503,0.0000916993,0.00007191657,0.00007244005],"category_scores_gemma":[0.0009118815,0.0001189788,0.00006118853,0.0005423901,0.0001220998,0.0001972466,0.00004045657,0.000321474,0.000007747383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091452,"about_ca_system_score_gemma":0.0001632299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004305189,"about_ca_topic_score_gemma":0.00003695338,"domain_scores_codex":[0.9982471,0.0001232407,0.0003701616,0.0003684714,0.0004891659,0.000401874],"domain_scores_gemma":[0.9987358,0.0003087669,0.0003934655,0.000192634,0.0002431395,0.0001261842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006753663,0.0001175402,0.7999913,0.00008382844,0.00006345811,0.00004373003,0.001387754,0.0003193302,0.1892288,0.000008531373,0.005220959,0.002859371],"study_design_scores_gemma":[0.007493674,0.0003585596,0.8736719,0.001828918,0.0001056063,0.00001830986,0.0004062887,0.005462554,0.1033852,0.0001318538,0.006780596,0.0003564731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831519,0.002729829,0.001522336,0.01131451,0.0002510631,0.0006422158,0.00005576278,0.00006556034,0.0002668439],"genre_scores_gemma":[0.9479956,0.001541688,0.04694658,0.0003393955,0.000101584,0.00008868551,0.00004525327,0.00005405494,0.002887174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0858436,"threshold_uncertainty_score":0.4851815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006760025945077997,"score_gpt":0.2898503214996989,"score_spread":0.2830902955546209,"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."}}