{"id":"W4309246345","doi":"10.1261/rna.079469.122","title":"Remarkable improvement in detection of readthrough downstream-of-gene transcripts by semi-extractable RNA-sequencing","year":2022,"lang":"en","type":"article","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency; Japan Society for the Promotion of Science; Research Organization of Information and Systems; Institute of Genetics; Japan Agency for Medical Research and Development","keywords":"Biology; RNA; Gene; Gene expression; RNA extraction; Molecular biology; Cell biology; Genetics; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004032795,0.00009031979,0.0001487992,0.00005856522,0.00007572702,0.00000571777,0.0001501076,0.00005525502,0.0000528983],"category_scores_gemma":[0.00002707345,0.00008677807,0.00006674746,0.0001359231,0.00003057624,0.000006816242,0.00005909499,0.000137335,5.616654e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000919737,"about_ca_system_score_gemma":0.00008347656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204734,"about_ca_topic_score_gemma":0.0001489394,"domain_scores_codex":[0.9989385,0.00005866719,0.0002736869,0.0002284254,0.0002218688,0.0002788596],"domain_scores_gemma":[0.9995912,0.000007011305,0.00007431272,0.0002384219,0.00004244269,0.00004656363],"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":[0.0001420915,0.00006354663,0.0001640155,0.00004293354,0.00002354247,0.000003517776,0.0000624675,0.0004236891,0.9900452,0.000003084931,0.0001766102,0.008849328],"study_design_scores_gemma":[0.0004342545,0.0005982253,0.00006276108,0.00001106971,0.000005967948,0.000005738752,0.0002843791,0.0002902843,0.9956991,0.00002085421,0.00249865,0.00008868823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965803,0.0009698507,0.0008572206,0.00003780776,0.00006726383,0.0001778452,0.00003980628,0.000004268335,0.001265619],"genre_scores_gemma":[0.9981477,0.0002008777,0.0001364922,0.00003198798,0.00002490637,0.00004121534,0.00006562495,0.00001365952,0.001337548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008760639,"threshold_uncertainty_score":0.3538707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118825495082637,"score_gpt":0.243786132320887,"score_spread":0.2325978773700607,"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."}}