{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996277,0.0006474119,0.0009598717,0.00182529,0.0003411337,0.001067688,0.0007778984,0.001064351,0.002907665],"category_scores_gemma":[0.0004683966,0.0002593271,0.0004302383,0.001908189,0.0007474362,0.001695276,0.000843663,0.002176538,0.002315118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000889204,"about_ca_system_score_gemma":0.001003258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008375065,"about_ca_topic_score_gemma":0.001623777,"domain_scores_codex":[0.9998714,0.00002546795,0.00001686649,0.00002465267,0.00004514567,0.00001638572],"domain_scores_gemma":[0.9997783,0.0001025429,0.00002289273,0.000008369003,0.00005957526,0.00002828019],"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":[0.00007265613,0.00003793972,0.0001692221,0.01188324,0.00006596907,0.0002374007,0.0001056804,0.0004842466,0.003468502,0.01217882,0.03559114,0.9357052],"study_design_scores_gemma":[0.000006570298,0.00004610791,0.0003658799,0.001506063,0.00004068535,0.0007151334,0.00005249879,0.0000737193,0.0005952033,0.004238078,0.9923454,0.00001469901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007820886,0.9980714,0.0002204053,0.0005564883,0.000236397,0.000002656226,0.00001330352,0.00001090318,0.000810369],"genre_scores_gemma":[0.0004495572,0.9983767,0.0001649143,0.000256011,0.0001662291,0.000003615313,0.00002003433,0.000001857544,0.0005610751],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002907665,"threshold_uncertainty_score":0.00972712,"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."}}