{"id":"W4398193896","doi":"10.1016/j.jcyt.2024.03.047","title":"THERAPEUTIC GENOME EDITING FOR SEVERE MONOGENIC SKIN DISORDERS","year":2024,"lang":"en","type":"article","venue":"Cytotherapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Genome editing; Genetics; Biology; Medicine; Computational biology; Genome; Gene","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":[0.00008519809,0.0001300583,0.00008431605,0.00003512366,0.00005057083,0.00004076187,0.0001121931,0.00008567279,0.00004055521],"category_scores_gemma":[0.000004852984,0.0001233723,0.0001348665,0.00006290888,0.00002066038,0.000002305258,0.00001465681,0.00005021318,0.000009731681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056968,"about_ca_system_score_gemma":0.00002722807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002765481,"about_ca_topic_score_gemma":0.00001332439,"domain_scores_codex":[0.9993405,0.000009214795,0.0001096382,0.0002696559,0.00005316165,0.0002177763],"domain_scores_gemma":[0.999738,0.0000137933,0.00001241566,0.0001819691,0.00001477927,0.00003904995],"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":[0.00003291246,0.00001849584,0.0001217847,0.00006660071,0.0001809517,7.3737e-7,0.0002137762,0.001323687,0.9154842,0.0002281655,0.0009831911,0.08134548],"study_design_scores_gemma":[0.0006141422,0.0003063254,0.0009217692,0.00001924098,0.00002636648,0.00001733797,0.0001171088,0.002431989,0.142434,0.001003426,0.8517389,0.0003694727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4089223,0.05561969,0.5316074,0.0007042209,0.001100772,0.0006991451,0.00007057315,0.0001344137,0.001141457],"genre_scores_gemma":[0.9951066,0.00120446,0.00110219,0.0002543031,0.001018268,0.00008364672,0.00006519004,0.00006272613,0.001102663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8507556,"threshold_uncertainty_score":0.5030977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006766900999812881,"score_gpt":0.2933580132419752,"score_spread":0.2865911122421624,"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."}}