{"id":"W4402988765","doi":"10.3390/ncrna10050050","title":"Non-Coding RNA as a Biomarker in Lung Cancer","year":2024,"lang":"en","type":"review","venue":"Non-Coding RNA","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"microRNA; Non-coding RNA; Lung cancer; Biomarker; Metastasis; Circular RNA; Long non-coding RNA; Bioinformatics; Cancer; Biology; Precision medicine; Computational biology; Medicine; RNA; Gene; Oncology; Pathology; Internal medicine; 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":[0.001813174,0.000591575,0.0009119161,0.001597746,0.0002317965,0.001434488,0.0005299849,0.001099069,0.001712773],"category_scores_gemma":[0.002175576,0.0001306981,0.0004940458,0.001367173,0.0006529129,0.0008334388,0.0005287799,0.001135619,0.0006919437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981512,"about_ca_system_score_gemma":0.0009067199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000772483,"about_ca_topic_score_gemma":0.0007881915,"domain_scores_codex":[0.9990339,0.0003185726,0.0001058613,0.0001768285,0.0003108313,0.00005399754],"domain_scores_gemma":[0.9986016,0.0006789441,0.0002987281,0.00004472005,0.0002920489,0.00008408746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001035248,0.0001991181,0.07472666,0.01721061,0.0008489732,0.001758818,0.0002605712,0.001686295,0.06236652,0.01174087,0.0247244,0.8034419],"study_design_scores_gemma":[0.0001266378,0.002348534,0.1338763,0.007273533,0.002341014,0.01718281,0.0006193606,0.008330303,0.08131109,0.02311437,0.7231547,0.0003211862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01464678,0.9661832,0.008557879,0.003378096,0.001471479,0.00008192603,0.0007624561,0.0001611155,0.0047572],"genre_scores_gemma":[0.2981518,0.659223,0.02570966,0.005340831,0.003431088,0.0003657545,0.002269799,0.00005505204,0.005453019],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001813174,"threshold_uncertainty_score":0.009589076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321753695805817,"score_gpt":0.3819992735651989,"score_spread":0.3487817366071407,"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."}}