{"id":"W4296130065","doi":"10.1101/2022.09.13.507708","title":"Immune Isoform Atlas: Landscape of alternative splicing in human immune cells","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; Tokyo Medical and Dental University; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Gene isoform; Alternative splicing; Biology; Immune system; Computational biology; RNA splicing; Genetics; Genome; Gene; RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008890785,0.0004310815,0.0005058496,0.00156701,0.0003710393,0.0006956072,0.0004502842,0.0002909357,0.003317166],"category_scores_gemma":[0.0009596838,0.0002037865,0.000358085,0.00192315,0.0001552662,0.0003047579,0.0006985116,0.0004002685,0.001796502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336514,"about_ca_system_score_gemma":0.0005393033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004699099,"about_ca_topic_score_gemma":0.001254959,"domain_scores_codex":[0.9994954,0.00009150364,0.00006438828,0.000187024,0.0001192835,0.00004240726],"domain_scores_gemma":[0.9993419,0.0002015352,0.0001274402,0.0001335833,0.000116825,0.00007865128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001953871,0.00007119637,0.07482655,0.002902353,0.0006695813,0.0009757144,0.000686883,0.004325943,0.6643888,0.00644202,0.05656919,0.1861878],"study_design_scores_gemma":[0.0001734477,0.0004638062,0.2741293,0.0003056922,0.0008420172,0.004547528,0.0004188019,0.03050994,0.2651036,0.0178607,0.4054999,0.0001452238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5246311,0.01023957,0.1323882,0.0008919446,0.0003592138,0.0002379045,0.3033073,0.01437447,0.01357021],"genre_scores_gemma":[0.4075446,0.003344205,0.2220961,0.0004665359,0.0002452491,0.0005393846,0.3564306,0.002331394,0.007001868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003317166,"threshold_uncertainty_score":0.01109707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020087588475782,"score_gpt":0.2452074499633311,"score_spread":0.2350065740785733,"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."}}