{"id":"W4304630449","doi":"10.1002/1878-0261.13322","title":"Heterogeneous <scp>RNA</scp> editing and influence of <scp>ADAR2</scp> 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003041688,0.0001934561,0.0002545047,0.000055601,0.0002043707,0.00002030808,0.000221324,0.00007650492,0.000005752522],"category_scores_gemma":[0.0003542252,0.0001700474,0.00009400744,0.00008686924,0.0004663478,0.000003856017,0.0003699482,0.0001336921,0.000002130358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000042421,"about_ca_system_score_gemma":0.00007128948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001246304,"about_ca_topic_score_gemma":0.00000626371,"domain_scores_codex":[0.9984814,0.0002973537,0.0002831634,0.0004350638,0.00022684,0.0002761663],"domain_scores_gemma":[0.9991062,0.0001228914,0.0002454082,0.0003657686,0.00003663014,0.0001230717],"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":[0.00009950275,0.0001388451,0.00146049,0.0000334317,0.00008544523,0.0001388473,0.0001927322,0.004234825,0.990913,0.0005152398,0.001243544,0.0009440514],"study_design_scores_gemma":[0.00543328,0.001320456,0.02144204,0.00001832607,0.0001282582,0.0004442828,0.0008111566,0.0004841895,0.8216939,0.0005995028,0.1475006,0.0001239796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944072,0.003710621,0.000143048,0.000339034,0.00006578939,0.0003212721,0.00004227495,0.000009151484,0.0009615909],"genre_scores_gemma":[0.9960353,0.0001302668,0.0002590024,0.0030344,0.00005670134,0.0001022119,0.00003003294,0.00002777731,0.0003242901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692192,"threshold_uncertainty_score":0.693433,"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."}}