{"id":"W2949800402","doi":"10.1038/s41431-019-0455-9","title":"Sex specific associations in genome wide association analysis of renal cell carcinoma","year":2019,"lang":"en","type":"review","venue":"European Journal of Human Genetics","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"University of Texas MD Anderson Cancer Center; Ministerstvo Zdravotnictví Ceské Republiky; Duncan Family Institute for Cancer Prevention and Risk Assessment; National Institute for Health and Care Research; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; Cancer Research UK; World Health Organization","keywords":"Renal cell carcinoma; Biology; Genome-wide association study; Genetics; Genetic association; Oncology; Internal medicine; Computational biology; Medicine; Single-nucleotide polymorphism; Gene; Genotype","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":[0.001983039,0.0002765175,0.0003683232,0.001275637,0.0003589857,0.000606529,0.0003552291,0.00041855,0.0009778682],"category_scores_gemma":[0.005296448,0.0002281592,0.001131286,0.001281231,0.000324679,0.0001764656,0.0005434942,0.0005485977,0.0001068486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349086,"about_ca_system_score_gemma":0.0002572558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290568,"about_ca_topic_score_gemma":0.003975124,"domain_scores_codex":[0.9978042,0.001084263,0.000174298,0.0004733484,0.0003058535,0.0001581302],"domain_scores_gemma":[0.9971788,0.001078699,0.0008044786,0.0004327632,0.0002595582,0.0002456614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002327817,0.00001695131,0.9893883,0.00002196929,0.0009610829,0.0003759978,0.00009599571,0.0001504924,0.003537593,0.0001127048,0.000157105,0.004948982],"study_design_scores_gemma":[0.00001221391,0.00004484393,0.9982803,0.000004380548,0.0002063258,0.0004420005,0.0000413308,0.0002360637,0.0003007007,0.0001151943,0.0003126227,0.000004087643],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9969067,0.001490483,0.000692784,0.0001096968,0.00002260277,0.000005468244,0.0002326833,0.00001480351,0.0005247872],"genre_scores_gemma":[0.999126,0.0002065679,0.0002934354,0.00003652816,0.0000188926,0.000005008117,0.0001462168,0.000005317814,0.0001620059],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002290568,"threshold_uncertainty_score":0.01048738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07488886047586926,"score_gpt":0.3021126541058858,"score_spread":0.2272237936300166,"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."}}