{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346273,0.000449873,0.0003483669,0.001492505,0.0003198765,0.0004743557,0.0005286714,0.0004000583,0.003859156],"category_scores_gemma":[0.002563119,0.0002056944,0.0009191989,0.0008332355,0.0004714028,0.000154929,0.0007632338,0.0006211705,0.0005065746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005340312,"about_ca_system_score_gemma":0.0003637988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003130855,"about_ca_topic_score_gemma":0.004763111,"domain_scores_codex":[0.9990686,0.0002227647,0.0000795103,0.0002913582,0.0002237447,0.0001140588],"domain_scores_gemma":[0.9984543,0.0009023258,0.0002427747,0.0001744323,0.0001464625,0.00007957129],"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":[0.001367184,0.000112783,0.1575235,0.0002516422,0.0005027587,0.001113509,0.0002646835,0.003680534,0.8044203,0.001867377,0.0003172357,0.02857857],"study_design_scores_gemma":[0.0004652458,0.001255803,0.5619228,0.00005754387,0.001384748,0.004950516,0.0003583434,0.04534785,0.3768382,0.002597082,0.004756875,0.00006491011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817746,0.0005923054,0.01463068,0.0001316578,0.00002060204,0.00003836735,0.001724059,0.0001595289,0.0009282032],"genre_scores_gemma":[0.9887328,0.0001671743,0.009205053,0.00008602374,0.000008324141,0.0000312772,0.001276485,0.00003287628,0.0004599935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003859156,"threshold_uncertainty_score":0.01291019,"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."}}