{"id":"W4241618533","doi":"10.1007/978-1-4939-8651-4","title":"Exon Skipping and Inclusion Therapies","year":2018,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Exon skipping; Exon; Genome editing; CRISPR; Computational biology; Cas9; Biology; Genetics; Gene; Computer science; Bioinformatics; Alternative splicing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00128272,0.0003435175,0.0003878736,0.0001662347,0.000206997,0.00001261211,0.0002752306,0.00100036,0.00002241813],"category_scores_gemma":[0.0001872306,0.0003132518,0.000112372,0.00006274056,0.0004077752,0.000001138499,0.003134771,0.0002696483,0.000003314267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003304609,"about_ca_system_score_gemma":0.0001199631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008330573,"about_ca_topic_score_gemma":0.00001223615,"domain_scores_codex":[0.9977298,0.0005965787,0.000340466,0.0009478051,0.00008504874,0.0003003194],"domain_scores_gemma":[0.9991073,0.00002715606,0.0001770394,0.0005406883,0.00009025747,0.00005753415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004742408,0.00001742144,0.00005820244,0.00003422616,0.00007361898,0.000005890759,0.0001313558,0.000002355561,0.9609846,0.001056351,0.0005923468,0.03699616],"study_design_scores_gemma":[0.0003023455,0.0007529553,0.00005928729,0.00005762195,0.00003554987,0.00004196646,0.00001546453,0.00002077857,0.1890635,0.04223492,0.7669494,0.0004662445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01543354,0.0587205,0.858237,0.000356259,0.001210885,0.0007881609,0.00002452954,0.00003520871,0.0651939],"genre_scores_gemma":[0.002415401,0.008606,0.791636,0.001132696,0.001764372,0.00006626309,0.0005323832,0.0001923922,0.1936544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7719212,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736507950741681,"score_gpt":0.3666787380511659,"score_spread":0.3493136585437491,"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."}}