{"id":"W2196905301","doi":"10.1038/ncomms9234","title":"Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; Simon Fraser University; BC Cancer Agency","funders":"National Institute of General Medical Sciences; Medical Research Council; Canadian Institutes of Health Research; Cancer Research UK; National Health and Medical Research Council; European Commission; National Center for Advancing Translational Sciences; Wellcome Trust; Francis Crick Institute; National Cancer Institute; Ovarian Cancer Research Fund; National Institutes of Health; Roswell Park Cancer Institute","keywords":"Ovarian cancer; Serous ovarian cancer; Gene; Serous fluid; Computational biology; Biology; Genetics; Cancer; Bioinformatics; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003183155,0.00006702454,0.0001138218,0.00007296385,0.0001175706,0.00001650525,0.0002271118,0.00015228,0.000005420453],"category_scores_gemma":[0.0001604303,0.00006171871,0.0000559283,0.0002324423,0.00009050344,0.000006075413,0.0001456409,0.0001319912,2.40716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002326495,"about_ca_system_score_gemma":0.0001264754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009721172,"about_ca_topic_score_gemma":0.009195007,"domain_scores_codex":[0.9993912,0.000089532,0.0001395816,0.0001646901,0.0001090471,0.0001059577],"domain_scores_gemma":[0.9986796,0.00004440997,0.00007339704,0.000748541,0.0003777863,0.00007631109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000243901,0.000157689,0.1720979,0.00002742996,0.000812291,1.126799e-7,0.0000869709,0.0006443496,0.8170549,0.001837616,0.003492871,0.003543994],"study_design_scores_gemma":[0.002725527,0.0004210723,0.3797525,0.00001680775,0.0007716858,0.000004770528,0.000335604,0.0047255,0.5789322,0.001156012,0.03071833,0.0004400205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879795,0.004876252,0.005032045,0.001582398,0.00004692364,0.0001980158,0.0002326833,0.000006378499,0.00004585164],"genre_scores_gemma":[0.9929222,0.0007291014,0.004403437,0.00006454437,0.00005458969,0.00006237073,0.001547424,0.000006664554,0.0002096977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2381227,"threshold_uncertainty_score":0.513103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606982724734314,"score_gpt":0.3429343191693403,"score_spread":0.3068644919219972,"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."}}