{"id":"W3089891152","doi":"10.1016/j.nmd.2020.09.014","title":"LATE BREAKING NEWS E-POSTER PRESENTATION","year":2020,"lang":"en","type":"article","venue":"Neuromuscular Disorders","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Exon; Genome editing; Biology; Duchenne muscular dystrophy; Plasmid; Gene; Exon skipping; Dystrophin; Reverse transcriptase; Sanger sequencing; Genetics; Stop codon; Point mutation; Coding region; CRISPR; Molecular biology; Computational biology; Mutation; RNA; 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":[],"consensus_categories":[],"category_scores_codex":[0.00002650869,0.0001183323,0.00007773181,0.0000169024,0.00003826631,0.00002449923,0.0001214451,0.00005771745,0.00002774694],"category_scores_gemma":[0.00005056019,0.0001249324,0.00009579622,0.00008023682,0.0000195493,0.000003623437,0.00007152064,0.00006680409,0.00002124669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001920436,"about_ca_system_score_gemma":0.00001071536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001738843,"about_ca_topic_score_gemma":0.00003045858,"domain_scores_codex":[0.999277,0.00003018396,0.0001173367,0.0002980923,0.0001024253,0.0001749754],"domain_scores_gemma":[0.9996782,0.000004184219,0.00002545085,0.0001896159,0.00001516503,0.00008736741],"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":[0.00005455457,0.00003307589,0.009774672,0.000063063,0.00006046083,0.000005418384,0.0003188624,0.01351767,0.9424043,0.00001678748,0.002752362,0.03099874],"study_design_scores_gemma":[0.002393526,0.0007304096,0.04110511,0.00001745975,0.00009651217,0.000012437,0.0002551768,0.005912872,0.2579828,0.00009867435,0.6904663,0.0009287205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616125,0.000731304,0.03265296,0.002139641,0.0001800458,0.0002359161,0.000004880063,0.00004818289,0.002394586],"genre_scores_gemma":[0.9977354,0.0002545799,0.0002403866,0.001417159,0.0001631,0.00001035321,0.00006480617,0.00003215454,0.00008208048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.687714,"threshold_uncertainty_score":0.5094597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008121914963258111,"score_gpt":0.2669067502553312,"score_spread":0.2587848352920731,"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."}}