{"id":"W3004981644","doi":"10.1101/2020.02.04.934257","title":"Hnrnpul1 controls transcription, splicing, and modulates skeletal and limb development in vivo","year":2020,"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":"Calgary General Hospital; University of Calgary; University of Alberta; Alberta Children's Hospital","funders":"Institute of Genetics; Genome British Columbia; Genome Alberta; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Alberta Children's Hospital Research Institute; Ontario Genomics Institute","keywords":"Zebrafish; Biology; RNA splicing; Genetics; Transcription (linguistics); Frameshift mutation; Gene; RNA; Phenotype; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000162201,0.0002276898,0.0001447714,0.0002001627,0.0001741653,0.0002862077,0.0002064477,0.0002057736,0.002676915],"category_scores_gemma":[0.0001433208,0.0001833991,0.0001351792,0.00009369379,0.0002695573,0.0001088435,0.0002880624,0.0002946289,0.001049374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003081423,"about_ca_system_score_gemma":0.0001308989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007797612,"about_ca_topic_score_gemma":0.001959885,"domain_scores_codex":[0.9998778,0.00001637077,0.000006099979,0.00003572798,0.0000377789,0.00002622366],"domain_scores_gemma":[0.999894,0.00002552611,0.0000293113,0.00001684292,0.000008313061,0.00002594352],"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":[0.00006042758,0.000004873996,0.0002469807,0.000009557413,0.000001657752,0.00004049494,0.000005689743,0.0000401887,0.9987789,0.00007128677,0.00005912716,0.0006807098],"study_design_scores_gemma":[0.0000202869,0.00008663576,0.01767881,0.00000831714,0.000009579508,0.0003614781,0.00002991349,0.001696442,0.9752332,0.0001337628,0.004736495,0.000005055976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866418,0.00178341,0.00446083,0.0001727387,0.00004280675,0.000011909,0.001282061,0.0002781943,0.00532629],"genre_scores_gemma":[0.9855643,0.0007406839,0.002188246,0.0001190107,0.00001714839,0.0000222328,0.001848653,0.000200095,0.009299618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002676915,"threshold_uncertainty_score":0.008955121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154006894066135,"score_gpt":0.2243488514178847,"score_spread":0.2128087824772234,"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."}}