{"id":"W2897430047","doi":"10.1016/j.ijrobp.2018.06.252","title":"Development and Validation of Genomic Tools to Predict Extraprostatic Extension of Prostate Cancer, Opportunities for Personalizing Treatment","year":2018,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Medicine; Nomogram; Prostate cancer; Prostatectomy; Logistic regression; Oncology; Biopsy; Internal medicine; Cohort; Cancer","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":[0.004949094,0.0008713017,0.000837989,0.002618775,0.0003714343,0.003097976,0.001024183,0.0011199,0.002556806],"category_scores_gemma":[0.01249987,0.0004348307,0.0007942005,0.001721061,0.000589887,0.001054219,0.001005291,0.001267653,0.001041131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005925092,"about_ca_system_score_gemma":0.001612116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244778,"about_ca_topic_score_gemma":0.003020668,"domain_scores_codex":[0.9981942,0.0004967171,0.0001405353,0.0004273302,0.0005988793,0.0001423623],"domain_scores_gemma":[0.9936509,0.003301659,0.0009999509,0.0006706691,0.001137178,0.0002397562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009999238,0.000499556,0.4614236,0.0008277584,0.0007356365,0.0005032658,0.0003838098,0.02356673,0.0796934,0.006162188,0.007560251,0.4176438],"study_design_scores_gemma":[0.0004503901,0.002429996,0.4917681,0.0009856122,0.00258828,0.004447466,0.00105862,0.1909797,0.1694126,0.04432704,0.09126402,0.000288222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6773331,0.02997233,0.2411748,0.00752099,0.0006515112,0.0007363487,0.02656925,0.002666526,0.01337513],"genre_scores_gemma":[0.8279522,0.004320972,0.1495071,0.001274567,0.0003128634,0.0003132611,0.01368307,0.0001888106,0.002447182],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004949094,"threshold_uncertainty_score":0.02617359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121060504617373,"score_gpt":0.3939899931522071,"score_spread":0.2729294885348342,"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."}}