{"id":"W4389486522","doi":"10.1089/hum.2023.114","title":"Multidimensional Response Surface Methodology for the Development of a Gene Editing Protocol for p67 <sup>phox</sup> -Deficient Chronic Granulomatous Disease","year":2023,"lang":"en","type":"article","venue":"Human Gene Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; Wellcome Trust; Great Ormond Street Hospital for Children; National Institute for Health and Care Research; University College London; LifeArc","keywords":"Chronic granulomatous disease; Genetic enhancement; Gene; Disease; Genome editing; Protocol (science); Biology; Computational biology; Medicine; Immunology; Genetics; Pathology; CRISPR","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":[0.001343014,0.0002103326,0.0002017869,0.00005455778,0.0003148907,0.00001078138,0.000219771,0.00008801844,0.00001609285],"category_scores_gemma":[0.0001030434,0.0001644847,0.0001699991,0.00009819574,0.00006898592,0.000001892421,0.00007133881,0.00005177862,0.000002627847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002376332,"about_ca_system_score_gemma":0.0002369303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002369629,"about_ca_topic_score_gemma":0.000006777831,"domain_scores_codex":[0.9985805,0.0001259202,0.000375722,0.0003793512,0.0001531296,0.0003854082],"domain_scores_gemma":[0.9990584,0.0002418302,0.0001057666,0.0003851928,0.0001289303,0.00007990782],"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":[0.001813932,0.00005924668,0.00004655605,0.00008019823,0.00009829862,0.000001026182,0.0005662917,0.04611495,0.9479195,0.00002342087,0.0006306825,0.002645919],"study_design_scores_gemma":[0.00293519,0.0004757785,0.002308137,0.00001953629,0.00001507439,0.000003577543,0.0001335541,0.006090172,0.9369689,0.00004262122,0.0507986,0.0002088419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878214,0.0005278019,0.08248676,0.00009623235,0.00008000844,0.02889056,0.00005800559,0.00003646978,0.00000273104],"genre_scores_gemma":[0.7096273,0.00005029731,0.1187943,0.000173837,0.0009729577,0.1689295,0.0004734884,0.0001815559,0.0007967577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1781941,"threshold_uncertainty_score":0.6707491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07826308621544252,"score_gpt":0.4050362467996372,"score_spread":0.3267731605841947,"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."}}