{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007990682,0.0007456662,0.0005983958,0.001006939,0.0003482636,0.0008414128,0.0009173848,0.001152446,0.01299874],"category_scores_gemma":[0.0006281162,0.0003021914,0.000508567,0.0005755614,0.0009813613,0.001193253,0.001088358,0.002432796,0.006779575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572649,"about_ca_system_score_gemma":0.0004029573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001962706,"about_ca_topic_score_gemma":0.0004417479,"domain_scores_codex":[0.9996494,0.00005132295,0.00002238655,0.00006248382,0.0001789011,0.00003554],"domain_scores_gemma":[0.9997761,0.0001316883,0.00001673478,0.00003397409,0.00002208874,0.00001955059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001209995,0.00009470699,0.00007258377,0.0006908164,0.00002238542,0.0005775655,0.0001005706,0.0008853145,0.02141866,0.06639144,0.08341325,0.8262116],"study_design_scores_gemma":[0.00002490689,0.00008137025,0.0002574028,0.0002830858,0.00002105302,0.002986655,0.00002126927,0.0005175161,0.01935582,0.03785979,0.9385663,0.00002483767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.009761042,0.4509397,0.1586016,0.008124165,0.009539869,0.000257322,0.0008783722,0.00193352,0.3599645],"genre_scores_gemma":[0.04872192,0.226737,0.05638941,0.007289446,0.003285633,0.0007849103,0.001370163,0.0008715226,0.65455],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01299874,"threshold_uncertainty_score":0.04348511,"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."}}