{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000810641,0.0007440003,0.0003851907,0.0004554147,0.0002087041,0.0004380602,0.0003662853,0.0005061564,0.0009414694],"category_scores_gemma":[0.0004031157,0.0002820741,0.0004964437,0.0004493897,0.0002794965,0.0002748765,0.0004427058,0.0009179946,0.0006513585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807584,"about_ca_system_score_gemma":0.000248655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000205944,"about_ca_topic_score_gemma":0.0004272293,"domain_scores_codex":[0.9993103,0.0001724916,0.00006481942,0.0001245295,0.0002595696,0.00006828996],"domain_scores_gemma":[0.9997677,0.00006205637,0.00006076667,0.00003959989,0.00004571802,0.00002410207],"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":[0.000015674,0.00002395142,0.00003580499,0.0000343525,0.000003761343,0.00002564924,0.00002257535,0.0002883677,0.9962587,0.0001766267,0.00006304777,0.003051506],"study_design_scores_gemma":[0.000008013608,0.0001579807,0.0004277329,0.000006511737,0.000008088491,0.0001205175,0.00001693668,0.004380264,0.991514,0.0001019157,0.003242637,0.000015433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3711922,0.002310182,0.620251,0.0004304799,0.0001428489,0.0006684954,0.0006004873,0.0009930106,0.003411225],"genre_scores_gemma":[0.5185565,0.002412609,0.4720832,0.0002422918,0.00002530455,0.00137918,0.001075992,0.000313362,0.003911568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009414694,"threshold_uncertainty_score":0.004287124,"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."}}