{"id":"W2968629420","doi":"10.1261/rna.071423.119","title":"New insights into minor splicing—a transcriptomic analysis of cells derived from TALS patients","year":2019,"lang":"en","type":"article","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospices Civils de Lyon; Centre National de la Recherche Scientifique; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Intron; Biology; RNA splicing; Spliceosome; Gene; Splice site mutation; Small nuclear RNA; Genetics; Context (archaeology); Molecular biology; Precursor mRNA; RNA; Non-coding RNA","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":[0.00003799408,0.0001057935,0.0002325187,0.0001088474,0.00002277067,0.00001226855,0.0001936708,0.00009328701,0.0001505961],"category_scores_gemma":[0.00001286117,0.0000933936,0.000168057,0.0001920473,0.00001893362,0.00000413764,0.00004533604,0.00005248368,0.0000331301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001278156,"about_ca_system_score_gemma":0.00005078796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879106,"about_ca_topic_score_gemma":0.0004540485,"domain_scores_codex":[0.9991723,0.00003478679,0.0001943445,0.0002678325,0.0001597378,0.0001710355],"domain_scores_gemma":[0.9994127,0.00001099804,0.0000687448,0.0003329033,0.00006028691,0.0001144175],"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":[0.00007731753,0.00003313191,0.02127174,0.000009634839,0.0004229655,5.252846e-7,0.0001645538,0.00006738523,0.9751008,0.00000297998,0.000387395,0.002461571],"study_design_scores_gemma":[0.000539452,0.0001529069,0.05203757,0.00001010934,0.0001192284,2.578966e-8,0.00003517689,0.0004283525,0.9455034,0.00001839526,0.001047287,0.0001081328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979951,0.0003964868,0.001000176,0.00001500447,0.00008774839,0.0001415586,0.00001646173,0.000004053989,0.0003433652],"genre_scores_gemma":[0.9971859,0.00009057709,0.0005844014,0.00008095887,0.00004443591,0.000002060486,0.0002047561,0.00001184482,0.001795027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03076583,"threshold_uncertainty_score":0.3808481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005889923755215423,"score_gpt":0.2309466302600633,"score_spread":0.2250567065048478,"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."}}