{"id":"W4362543280","doi":"10.1158/1538-7445.am2023-2057","title":"Abstract 2057: Pan-cancer analysis of ion channel genes reveals patterns of large-scale transcriptional dysregulation and novel oncogenes with functions in cellular connectivity","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Ontario Institute for Cancer Research","funders":"","keywords":"Druggability; Biology; Cancer; Transcriptome; Gene; Cancer research; Cancer cell; Computational biology; Gene expression; 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":[0.0001707431,0.0001748497,0.0002876681,0.0006061606,0.0002535073,0.0003436378,0.0001092502,0.0001608067,0.001745514],"category_scores_gemma":[0.0002619232,0.00008157251,0.0002729102,0.001063031,0.0001677028,0.0001314207,0.0002275989,0.0002746801,0.0003398432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197201,"about_ca_system_score_gemma":0.0002998447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413148,"about_ca_topic_score_gemma":0.002729016,"domain_scores_codex":[0.99984,0.00001333716,0.0000112094,0.00007413963,0.00003123909,0.00003008426],"domain_scores_gemma":[0.9997565,0.00006392548,0.00009282556,0.00002094324,0.00003655476,0.00002914558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006634574,0.00004890944,0.1778202,0.0006080517,0.0002579354,0.000449674,0.0001473438,0.00124314,0.7868155,0.0004220976,0.003484098,0.02803956],"study_design_scores_gemma":[0.00002666913,0.0001848045,0.9073436,0.00003767128,0.0002647291,0.001181224,0.0002026652,0.004307019,0.07396443,0.0005364895,0.01192918,0.00002151626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766154,0.002728199,0.003449053,0.0002074328,0.00002650105,0.00002523958,0.01514184,0.0003280591,0.00147825],"genre_scores_gemma":[0.9841008,0.0007061354,0.002785244,0.0002125015,0.00001532357,0.00004109171,0.01107765,0.00005951093,0.001001782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745514,"threshold_uncertainty_score":0.005839348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05731927518358685,"score_gpt":0.3639651817438282,"score_spread":0.3066459065602413,"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."}}