{"id":"W3197205055","doi":"10.1007/s00261-021-03235-0","title":"Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis","year":2021,"lang":"en","type":"article","venue":"Abdominal Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Effective diffusion coefficient; Prostate cancer; Receiver operating characteristic; Multiparametric MRI; Radiology; Diffusion MRI; Biopsy; Nuclear medicine; Prostate; Histopathology; Magnetic resonance imaging; Cancer; Pathology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002330236,0.0002266817,0.00079197,0.0002118377,0.00008263112,0.000003612319,0.00007421322,0.0001304136,0.0002214726],"category_scores_gemma":[0.0001633763,0.000182405,0.0001045786,0.0003317107,0.0002213303,0.00002995034,0.000134663,0.000262225,0.000001732425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766509,"about_ca_system_score_gemma":0.0002611577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921832,"about_ca_topic_score_gemma":0.0003541117,"domain_scores_codex":[0.9982487,0.0002306239,0.0004839801,0.0005052768,0.0002061707,0.000325275],"domain_scores_gemma":[0.9989262,0.0002902653,0.0001797669,0.0002602103,0.000144829,0.0001987268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00237864,0.0009953007,0.9502292,0.000341946,0.0001384058,0.0002641362,0.002129173,0.0002862124,0.01798595,0.00004694153,0.001037425,0.0241667],"study_design_scores_gemma":[0.004934151,0.001553474,0.9197081,0.0005814759,0.0002575986,0.0001638679,0.0004252175,0.002565636,0.06802268,0.00002684709,0.001602863,0.0001580242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748434,0.02276286,0.00006118546,0.001179733,0.0001906323,0.0007024824,0.0001589913,0.00001583423,0.00008490532],"genre_scores_gemma":[0.9822828,0.01679962,0.0002212017,0.0001174742,0.00003446616,0.0002512709,0.0001565131,0.00001901894,0.0001175913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05003673,"threshold_uncertainty_score":0.7438262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120689200472537,"score_gpt":0.2715243277331857,"score_spread":0.2603174357284603,"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."}}