{"id":"W4387479018","doi":"10.1093/database/baad063","title":"ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer","year":2023,"lang":"en","type":"article","venue":"Database","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Shanghai Jiao Tong University; Science and Technology Commission of Shanghai Municipality; King Saud University; National Natural Science Foundation of China; National Science Foundation","keywords":"microRNA; Database; Gene; Computational biology; Biomarker; Bioinformatics; Biology; Computer science; Genetics","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":[0.0008993179,0.001691769,0.002196485,0.006728255,0.000581612,0.001461035,0.001806151,0.00169599,0.009942016],"category_scores_gemma":[0.003833454,0.0005201339,0.001223534,0.005905367,0.0002679297,0.001048181,0.002023913,0.0007799345,0.006889152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105318,"about_ca_system_score_gemma":0.001981517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003294229,"about_ca_topic_score_gemma":0.005497999,"domain_scores_codex":[0.9989261,0.0001203072,0.0002768221,0.0003704594,0.0002144107,0.0000918021],"domain_scores_gemma":[0.9989452,0.0003565886,0.0002272919,0.0001453357,0.0001665811,0.0001589555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006294859,0.0004583096,0.04978182,0.03866663,0.001870366,0.007703247,0.001072624,0.008833827,0.08365865,0.00683481,0.5211028,0.2737222],"study_design_scores_gemma":[0.0007124179,0.0003689963,0.06582217,0.001902084,0.00130837,0.005724641,0.0003536308,0.007877934,0.02702934,0.004494297,0.884129,0.0002771853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02385877,0.01325691,0.00953241,0.0003357446,0.0001633768,0.0003079093,0.9383399,0.009859729,0.004345316],"genre_scores_gemma":[0.0234796,0.003883468,0.01846129,0.0003545607,0.00004545886,0.0005492214,0.95139,0.0005386724,0.001297738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009942016,"threshold_uncertainty_score":0.03325939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180211341234496,"score_gpt":0.2858928727710026,"score_spread":0.2640907593586576,"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."}}