{"id":"W2795164513","doi":"10.5489/cuaj.4859","title":"Natural history of prostatic lesions on serial multiparametric magnetic resonance imaging","year":2018,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Magnetic resonance imaging; Lesion; Biopsy; Prostate; Natural history; Radiology; Nuclear medicine; Pathology; Internal medicine; Cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002976627,0.0001157015,0.0002402893,0.0002484339,0.0001133342,0.00001852319,0.00007285387,0.00008068181,0.0005302581],"category_scores_gemma":[0.001099462,0.00008934773,0.00009952133,0.0002100353,0.0000874392,0.00005553474,0.000008593177,0.0003374404,0.00004784618],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004654314,"about_ca_system_score_gemma":0.0009520358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007754429,"about_ca_topic_score_gemma":0.0003634157,"domain_scores_codex":[0.9987567,0.0000972787,0.000301634,0.0001757242,0.0003005615,0.0003681102],"domain_scores_gemma":[0.998729,0.0001767856,0.0002224667,0.0001060881,0.0003585466,0.0004071261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002994298,0.0002063642,0.8200311,0.000008377117,0.0000436048,0.0001825394,0.0004052834,0.00000563545,0.0002981017,0.0001940118,0.08329141,0.09503417],"study_design_scores_gemma":[0.00170877,0.001302741,0.8236555,0.00004712667,0.00006450791,0.00006655933,0.00002591633,0.000276328,0.00008888043,0.000155263,0.1725154,0.00009296791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657658,0.01352461,0.000008541103,0.01432075,0.002447969,0.0004819108,0.00006146732,0.0000265724,0.00336234],"genre_scores_gemma":[0.9936912,0.0001641763,0.0004148718,0.00386839,0.0004652142,0.00001446937,0.00001001961,0.00001057838,0.001361049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0949412,"threshold_uncertainty_score":0.9991667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544256958669649,"score_gpt":0.2412762925764806,"score_spread":0.2258337229897842,"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."}}