{"id":"W4296131107","doi":"10.1158/1557-3265.sarcomas22-ia020","title":"Abstract IA020: Reprogramming of myogenic transcription factors in rhabdomyosarcoma","year":2022,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transcription factor; Biology; Chromatin; Cellular differentiation; Progenitor cell; Rhabdomyosarcoma; Chromatin immunoprecipitation; Reprogramming; Enhancer; MYF5; Skeletal muscle; Cell biology; PAX3; Myogenic regulatory factors; Promoter; Cancer research; Genetics; Gene expression; Gene; Stem cell; Myogenin; Endocrinology; Pathology; Sarcoma; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001598025,0.0002381513,0.0001611008,0.0002371075,0.0001563318,0.0002523951,0.0002309234,0.0002593911,0.00221951],"category_scores_gemma":[0.00008514499,0.0001215411,0.0002121033,0.0001349983,0.000165408,0.000136197,0.0002487686,0.0003964404,0.001020105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757958,"about_ca_system_score_gemma":0.0001520445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003633072,"about_ca_topic_score_gemma":0.0004518362,"domain_scores_codex":[0.9998562,0.00002452015,0.00001452909,0.00003546121,0.00003942797,0.00002974372],"domain_scores_gemma":[0.9999551,0.000008371537,0.00001034071,0.000006673951,0.000004535433,0.00001505232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006436453,0.00001723241,0.0001894686,0.00002912458,0.000001882476,0.00005190097,0.00001317503,0.00006744919,0.9974719,0.0001565163,0.00005517373,0.001881861],"study_design_scores_gemma":[0.00001964022,0.0003576747,0.007167278,0.00001130269,0.00001488831,0.0006993954,0.00005261357,0.001155895,0.9796495,0.000129072,0.0107355,0.000007284465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841918,0.002114897,0.004639472,0.0001305173,0.00008114847,0.00006951675,0.0008765552,0.0002001125,0.007695971],"genre_scores_gemma":[0.9844394,0.0009158624,0.002804968,0.0001068174,0.00001870732,0.00006184757,0.001526559,0.00006356502,0.01006229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00221951,"threshold_uncertainty_score":0.007424951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3431229631878934,"score_gpt":0.5313530501840579,"score_spread":0.1882300869961645,"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."}}