{"id":"W4382982388","doi":"10.3390/cancers15133433","title":"The Talented LncRNAs: Meshing into Transcriptional Regulatory Networks in Cancer","year":2023,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Computational biology; Transcription factor; Gene; Regulation of gene expression; Gene expression; Suppressor; Transcription (linguistics); Translation (biology); Context (archaeology); Messenger RNA; Cell biology; Bioinformatics; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006006043,0.0004268349,0.0006472733,0.0001623923,0.000221783,0.00007329659,0.00074375,0.0006820859,0.00003446584],"category_scores_gemma":[0.00008225357,0.0003485946,0.0004892503,0.0006431213,0.0002050423,0.000004796446,0.0001850184,0.000831815,0.00001576674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139897,"about_ca_system_score_gemma":0.003278754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007187926,"about_ca_topic_score_gemma":0.004810608,"domain_scores_codex":[0.9973188,0.0002748399,0.0005697407,0.0007584662,0.0004050681,0.0006730511],"domain_scores_gemma":[0.9988346,0.00005380667,0.0002060624,0.000665807,0.00009230719,0.0001474374],"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":[0.00008697143,0.000009826397,7.771988e-7,0.003038136,0.0008393851,0.00003772258,0.00005605533,0.01228388,0.0009935932,0.000333129,0.01269237,0.9696282],"study_design_scores_gemma":[0.0002873345,0.00004817971,0.000002098311,0.003859407,0.0001226758,0.000008474684,0.00003906457,0.0004712572,0.0001025584,0.00003598438,0.9946476,0.0003754105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002509948,0.9965039,0.0009725253,0.00005734605,0.001327687,0.0008773457,0.00005808187,0.00003092555,0.0001470768],"genre_scores_gemma":[0.0001051884,0.9950632,0.00002003919,0.00008771102,0.0007921606,0.001278984,0.0003677444,0.0001647571,0.002120218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9819552,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176441067369969,"score_gpt":0.3619726840174792,"score_spread":0.3202082733437795,"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."}}