{"id":"W2335451838","doi":"10.1158/1538-7445.am2013-2562","title":"Abstract 2562: Polymorphisms in microRNA (miRNA) pathways and survival in esophageal cancer (EC) patients.","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Memorial University of Newfoundland; University of British Columbia; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Single-nucleotide polymorphism; microRNA; Biology; Hazard ratio; SNP; Oncology; Genetics; Proportional hazards model; Gene; Cancer; Internal medicine; Cancer research; Bioinformatics; Medicine; Genotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002937176,0.0002645033,0.0002558761,0.000280497,0.0002185763,0.000282605,0.0001574613,0.0003360377,0.00307791],"category_scores_gemma":[0.0006129164,0.00009621061,0.0003126134,0.00055251,0.0001374886,0.000140383,0.0001647222,0.0003052433,0.0002526584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842894,"about_ca_system_score_gemma":0.0003819444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516597,"about_ca_topic_score_gemma":0.005686363,"domain_scores_codex":[0.9998535,0.00003024254,0.00001383682,0.00005493949,0.00002521649,0.00002218495],"domain_scores_gemma":[0.9997335,0.00006566686,0.00008421505,0.00001976826,0.00003124179,0.00006550398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002112182,0.00003125579,0.9869061,0.00006486159,0.0002119885,0.0001811464,0.00005025268,0.0001352433,0.006138598,0.00003138222,0.0004728701,0.003664158],"study_design_scores_gemma":[0.00004114855,0.0001491413,0.9979232,0.000007456857,0.0001322977,0.0003315509,0.00003358235,0.0003007816,0.0006446249,0.00004629492,0.0003869153,0.000003132756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974207,0.0004722394,0.0001496446,0.00009447801,0.000009444608,0.000006924909,0.001554043,0.000008284436,0.0002842793],"genre_scores_gemma":[0.9983873,0.00006804027,0.000148747,0.0000247228,0.000008834331,0.000006939961,0.0009020489,0.000003445889,0.0004498637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004516597,"threshold_uncertainty_score":0.0102967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106545782759271,"score_gpt":0.3281799109218532,"score_spread":0.2971144530942604,"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."}}