{"id":"W2793156050","doi":"10.1200/jco.2018.36.6_suppl.279","title":"The Metastatic Prostate Cancer project (MPCproject): Translational genomics through direct patient engagement.","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Biobank; Malignancy; Exome sequencing; Cancer; Internal medicine; Oncology; Bioinformatics; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02673998,0.0006216908,0.0005185874,0.0005886522,0.003290736,0.003712221,0.002027729,0.002185062,0.03753189],"category_scores_gemma":[0.02582571,0.0005328526,0.0007357653,0.001220395,0.001674686,0.00283605,0.0189802,0.004856357,0.006578937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003882475,"about_ca_system_score_gemma":0.02744894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00723697,"about_ca_topic_score_gemma":0.01281071,"domain_scores_codex":[0.9794224,0.01608601,0.0003356081,0.0009978404,0.001528746,0.001629538],"domain_scores_gemma":[0.9566872,0.006344572,0.001317425,0.001955649,0.00264323,0.03105198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002026205,0.00245684,0.02264137,0.0008842567,0.0001461944,0.0003070919,0.0031484,0.0003332182,0.0008998321,0.006540278,0.7422123,0.218404],"study_design_scores_gemma":[0.008495974,0.006817699,0.1300213,0.001999152,0.000248246,0.0009991571,0.009209342,0.002025313,0.002016001,0.0196679,0.8183289,0.0001709986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1974603,0.01058521,0.02685264,0.4228925,0.007826733,0.02987856,0.1122202,0.004905252,0.1873788],"genre_scores_gemma":[0.5387812,0.005554287,0.1072189,0.09850065,0.003857192,0.0839497,0.09335575,0.002184259,0.06659798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03753189,"threshold_uncertainty_score":0.1414163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2254386250994983,"score_gpt":0.5182232148556427,"score_spread":0.2927845897561444,"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."}}