{"id":"W2529629782","doi":"10.1038/nrneph.2016.133","title":"Precision medicine from the renal cancer genome","year":2016,"lang":"en","type":"review","venue":"Nature Reviews Nephrology","topic":"Nephrotoxicity and Medicinal Plants","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Epigenetics; Genomics; Aristolochic acid; Precision medicine; Renal cell carcinoma; Disease; Computational biology; Chromatin; Genome; Medicine; Cancer; Biology; Bioinformatics; Genetics; Gene; Pathology","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":[0.0009472417,0.0007714094,0.001718432,0.002025299,0.000291959,0.001350005,0.0007381781,0.001521027,0.004501204],"category_scores_gemma":[0.001644896,0.000305268,0.0006560485,0.001815359,0.0007206688,0.001522366,0.001273054,0.002810532,0.001340108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008785902,"about_ca_system_score_gemma":0.001646156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168253,"about_ca_topic_score_gemma":0.002679772,"domain_scores_codex":[0.9997241,0.00005925247,0.00003701721,0.00003779673,0.00011488,0.00002685934],"domain_scores_gemma":[0.9991615,0.0004693206,0.00009363855,0.00003387326,0.0001797779,0.00006193033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008731964,0.00002890347,0.0001893965,0.01388197,0.0001980528,0.0002120392,0.00006122315,0.0003633464,0.00172781,0.007462423,0.04332964,0.9324579],"study_design_scores_gemma":[0.00002100056,0.00003457415,0.000575888,0.003212879,0.0001442016,0.0005361058,0.00004283166,0.00008187607,0.0003396261,0.005433514,0.9895592,0.00001841577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005872933,0.9975956,0.0002024531,0.001014758,0.000375749,0.000002504157,0.00002507105,0.00001069256,0.0007144136],"genre_scores_gemma":[0.0007719937,0.9972047,0.0002961839,0.0007790066,0.0004144646,0.000003034275,0.000045436,0.000001874935,0.0004831971],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004501204,"threshold_uncertainty_score":0.01505798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05635916086300594,"score_gpt":0.3958506341835019,"score_spread":0.3394914733204959,"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."}}