{"id":"W2171686328","doi":"","title":"Model Systems to Explore CPB2 Pre-mRNA Splicing","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"RNA splicing; Messenger RNA; Chemistry; Computational biology; Computer science; Biology; Genetics; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805633,0.0005645238,0.0005020478,0.000436753,0.0006743897,0.0009659404,0.0008383057,0.001024119,0.002441579],"category_scores_gemma":[0.0002673869,0.0004622474,0.0004736071,0.0003462681,0.0005330055,0.000600026,0.0005245206,0.002014133,0.001477502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317416,"about_ca_system_score_gemma":0.0004666919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001582569,"about_ca_topic_score_gemma":0.002337389,"domain_scores_codex":[0.9997488,0.00006635505,0.00001718412,0.0000772873,0.00006507405,0.00002537714],"domain_scores_gemma":[0.999769,0.00008411297,0.00003913628,0.00004244064,0.00002526809,0.00004000481],"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":[0.000143326,0.00007905739,0.0002587588,0.0002194192,0.00001760635,0.0001752868,0.00007091276,0.001038896,0.9852158,0.009338222,0.0006282025,0.002814591],"study_design_scores_gemma":[0.0001195781,0.0008909469,0.001454015,0.0000737114,0.0000649973,0.001060848,0.00014691,0.01741639,0.8816222,0.007840135,0.08924662,0.00006365353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.649729,0.01899979,0.2910974,0.00318277,0.001332067,0.001062981,0.006294698,0.001972102,0.02632933],"genre_scores_gemma":[0.7624646,0.01256952,0.1948788,0.0006391066,0.000123797,0.001885712,0.007563696,0.0003265458,0.01954823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441579,"threshold_uncertainty_score":0.009558558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025639191977912,"score_gpt":0.237133453678762,"score_spread":0.21149426170085,"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."}}