{"id":"W2886703310","doi":"10.1158/1538-7445.am2018-ng06","title":"Abstract NG06: The clinico-genomics of localized, non-indolent prostate cancer: the CPC-GENE experience","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Canadian Cancer Society; Ontario Institute for Cancer Research","funders":"","keywords":"Prostate cancer; Genomics; Cancer; Medicine; Oncology; Internal medicine; Gene; Biology; Genetics; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00569743,0.0004096038,0.0004351049,0.0007217082,0.0005722689,0.00199189,0.000811146,0.0009628356,0.002989176],"category_scores_gemma":[0.004336893,0.0001366886,0.0003797529,0.001467186,0.0009116173,0.001024847,0.001929298,0.001977093,0.001174596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001919934,"about_ca_system_score_gemma":0.002423705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005551875,"about_ca_topic_score_gemma":0.006433196,"domain_scores_codex":[0.9988202,0.0004854483,0.00004547863,0.0002184359,0.000299675,0.0001306115],"domain_scores_gemma":[0.9955557,0.0009766434,0.0001882086,0.0004206129,0.0009203178,0.001938447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002222064,0.0005738219,0.09466067,0.0005581364,0.0001511448,0.00174381,0.001050266,0.002000575,0.007834376,0.008938251,0.3479978,0.5322691],"study_design_scores_gemma":[0.0004406538,0.001599415,0.1251531,0.001135708,0.0001980997,0.006961471,0.001155173,0.00371749,0.006145083,0.009070089,0.8442797,0.0001439617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4760382,0.1794981,0.03012436,0.1449746,0.008663369,0.0007020733,0.04094373,0.002276282,0.1167792],"genre_scores_gemma":[0.7336468,0.08123385,0.05139137,0.05469076,0.006319359,0.000548175,0.04496947,0.001406033,0.02579425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00569743,"threshold_uncertainty_score":0.03013122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233698801115099,"score_gpt":0.4744990791561073,"score_spread":0.3511291990445975,"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."}}