{"id":"W2061289602","doi":"10.1371/journal.pone.0004895","title":"An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Cancer Institute; National Institutes of Health","keywords":"IGFBP3; Single-nucleotide polymorphism; Haplotype; Biology; Genetics; Odds ratio; SNP; Case-control study; Internal medicine; Oncology; Bioinformatics; Gene; Genotype; Medicine; Receptor; Growth factor","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":[0.001268174,0.0005496775,0.0006155127,0.0011752,0.0007563777,0.0005760369,0.0006940124,0.0007730474,0.001701071],"category_scores_gemma":[0.003128252,0.0004647902,0.000789278,0.001280396,0.000348093,0.0002439749,0.0004447167,0.0005554516,0.0001819295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442272,"about_ca_system_score_gemma":0.0002831924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187252,"about_ca_topic_score_gemma":0.003580348,"domain_scores_codex":[0.9985007,0.0004500818,0.0001029631,0.0006162943,0.0002285307,0.0001014918],"domain_scores_gemma":[0.9984244,0.0005609847,0.0003824596,0.0002687306,0.0001800224,0.0001834535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001082496,0.0000978777,0.9909346,0.00002581213,0.0006463337,0.0005140306,0.0001416381,0.0001295774,0.003590106,0.00007573551,0.0001199398,0.00264185],"study_design_scores_gemma":[0.00008331425,0.0003078028,0.9966364,0.000005405551,0.0003430887,0.0008919262,0.00006372361,0.0008067955,0.0004361926,0.00007401613,0.0003451387,0.000006288928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989139,0.0002839654,0.0004841239,0.00002137002,0.000005818591,0.00001097747,0.0001282491,0.000007335696,0.0001442301],"genre_scores_gemma":[0.9991285,0.00006238883,0.0004415928,0.00001685132,0.000009870168,0.0000152859,0.0001425214,0.000003853936,0.0001791664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005187252,"threshold_uncertainty_score":0.01031411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286810745409331,"score_gpt":0.2331228833459935,"score_spread":0.2202547758919002,"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."}}