{"id":"W3155592862","doi":"10.3390/cancers13081853","title":"Analysis of TERT Isoforms across TCGA, GTEx and CCLE Datasets","year":2021,"lang":"en","type":"article","venue":"Cancers","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Ontario Institute for Cancer Research; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Broad Institute; Children's Health Research Institute","keywords":"Gene isoform; Biology; RNA splicing; Telomere; Alternative splicing; Ribonucleoprotein; Telomerase; Computational biology; Splicing factor; Cancer research; Genetics; Cell biology; RNA; Gene","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":[0.002857647,0.001027921,0.001543799,0.005462882,0.0007978881,0.001552802,0.001511405,0.001215292,0.004572019],"category_scores_gemma":[0.008846661,0.0003520501,0.001772462,0.006160286,0.000419098,0.0004997817,0.001517276,0.0009299757,0.001806931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009851735,"about_ca_system_score_gemma":0.001477562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02009275,"about_ca_topic_score_gemma":0.03618572,"domain_scores_codex":[0.9979156,0.0005028934,0.0002949243,0.0008024412,0.0002832232,0.0002009625],"domain_scores_gemma":[0.9971721,0.001384123,0.0002519377,0.0006741275,0.0003833378,0.0001344816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003808813,0.0003326871,0.4209594,0.01204425,0.01504598,0.004076842,0.001164381,0.03293655,0.03011422,0.006209169,0.3528469,0.1204609],"study_design_scores_gemma":[0.001072266,0.0003621609,0.504316,0.001051785,0.005654432,0.005944203,0.001104447,0.0287387,0.008570072,0.00697151,0.4359638,0.0002505524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1697216,0.007655976,0.006536252,0.001124947,0.0002044161,0.0001529636,0.809522,0.001839068,0.003242835],"genre_scores_gemma":[0.1386675,0.00138801,0.005290148,0.0003561116,0.00005838246,0.0004051837,0.852244,0.000390312,0.001200255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02009275,"threshold_uncertainty_score":0.03995162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867042427976312,"score_gpt":0.319769792177077,"score_spread":0.3010993678973138,"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."}}