{"id":"W2907742760","doi":"10.20944/preprints201811.0444.v1","title":"TALEN Mediated Gene Targeting for CF Gene Therapy","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children","funders":"Peking University; Cystic Fibrosis Canada; Canadian Institutes of Health Research; Cystic Fibrosis Foundation Therapeutics","keywords":"Transcription activator-like effector nuclease; Genome editing; Biology; Genetic enhancement; Reporter gene; Gene targeting; Minigene; Gene; Gene delivery; Gene expression; Nuclease; Viral vector; Genetics; Molecular biology; Computational biology; Cell biology; Exon; CRISPR; Recombinant DNA","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005371978,0.0005211122,0.0004853231,0.0005926887,0.0003240949,0.0007166577,0.000395608,0.000910458,0.005270138],"category_scores_gemma":[0.0004330383,0.0002728855,0.0004206995,0.0004294114,0.0004647645,0.0005105951,0.0007077486,0.001399809,0.00250215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004099229,"about_ca_system_score_gemma":0.0002343234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001827567,"about_ca_topic_score_gemma":0.0002224562,"domain_scores_codex":[0.9995098,0.00008457759,0.00002429624,0.0000976032,0.0002337341,0.00004993772],"domain_scores_gemma":[0.9998837,0.00003493947,0.00002182892,0.00002376833,0.00001710571,0.00001862275],"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":[0.00006998389,0.00005035269,0.000114829,0.000536007,0.00002851019,0.0003114594,0.00009702663,0.00103229,0.9499838,0.008048751,0.004671642,0.03505519],"study_design_scores_gemma":[0.00002944391,0.0001678253,0.0004743725,0.00006262639,0.00002889929,0.001258152,0.00003205068,0.005364352,0.8890572,0.003438157,0.1000553,0.00003148332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1475385,0.03659236,0.7527474,0.00324354,0.003111425,0.0005385302,0.002432169,0.007255546,0.04654056],"genre_scores_gemma":[0.6975985,0.02424619,0.2336061,0.001069105,0.000313364,0.0004640526,0.00284682,0.001194322,0.03866154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005270138,"threshold_uncertainty_score":0.01763034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05691900137962026,"score_gpt":0.3640255360927087,"score_spread":0.3071065347130885,"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."}}