{"id":"W4304630449","doi":"10.1002/1878-0261.13322","title":"Heterogeneous RNA editing and influence of ADAR2 on mesothelioma chemoresistance and the tumor microenvironment","year":2022,"lang":"en","type":"article","venue":"Molecular Oncology","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"Chancellerie des Universités de Paris; Cancéropôle Ile de France; China Scholarship Council; Ligue Contre le Cancer; Conseil Régional, Île-de-France; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Institut National de la Santé et de la Recherche Médicale; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"ADAR; RNA editing; Biology; RNA; Cancer research; Tumor microenvironment; Mesothelioma; microRNA; Gene knockdown; Downregulation and upregulation; Cell growth; Cell culture; Medicine; Pathology; Genetics; Gene; Tumor cells","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":[0.0001305397,0.0001892572,0.0001932257,0.0001467357,0.0001292218,0.0002832556,0.0001135749,0.0002078306,0.0008831368],"category_scores_gemma":[0.0001061965,0.00008489891,0.0001655203,0.00007880294,0.0002339943,0.0001355177,0.0001296925,0.0003368988,0.0002180596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666307,"about_ca_system_score_gemma":0.00009627816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004468426,"about_ca_topic_score_gemma":0.000666986,"domain_scores_codex":[0.9998379,0.00002712472,0.000009549997,0.00005820411,0.00004124586,0.00002597296],"domain_scores_gemma":[0.9998949,0.00002275413,0.00003332605,0.00001522387,0.00000974388,0.00002396143],"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":[0.00003339905,0.000004800067,0.00009884596,0.000007630554,0.000002429078,0.00001863298,0.000002803282,0.00003175355,0.9995422,0.0000120839,0.00001031529,0.0002351852],"study_design_scores_gemma":[0.000004865157,0.0001085412,0.005996966,0.00000202933,0.000009618462,0.000171639,0.00001649938,0.0009057977,0.9919023,0.00002603839,0.0008532447,0.000002614258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954464,0.001020652,0.002149613,0.00006623934,0.00001456543,0.00001392872,0.0002846237,0.00007971266,0.0009243212],"genre_scores_gemma":[0.9976878,0.0002033327,0.0008720853,0.00003766216,0.000004719999,0.00001460505,0.0002482538,0.00002189794,0.0009096229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008831368,"threshold_uncertainty_score":0.002954364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003887683976497622,"score_gpt":0.2159710956013078,"score_spread":0.2120834116248101,"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."}}