{"id":"W4205275020","doi":"10.1089/crispr.2021.0128","title":"High-Throughput Imaging of CRISPR- and Recombinant Adeno-Associated Virus–Induced DNA Damage Response in Human Hematopoietic Stem and Progenitor Cells","year":2022,"lang":"en","type":"article","venue":"The CRISPR Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"CRISPR; Genome editing; Cas9; Adeno-associated virus; Biology; Genetic enhancement; Computational biology; Genome; Gene; Recombinant DNA; Genetics; Vector (molecular biology)","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":[0.0003489027,0.0002211592,0.0003030274,0.000434102,0.0002101548,0.0003958543,0.0003669875,0.0004762827,0.001551681],"category_scores_gemma":[0.0002098073,0.0002341019,0.0002469636,0.0002457924,0.0001989453,0.0003172304,0.0003395102,0.0008676816,0.000441053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005608406,"about_ca_system_score_gemma":0.0004268261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117068,"about_ca_topic_score_gemma":0.003165615,"domain_scores_codex":[0.9998429,0.00001272026,0.00000682485,0.00004677123,0.00005945299,0.00003138467],"domain_scores_gemma":[0.9998901,0.00003480663,0.00001970688,0.00001036572,0.00002294364,0.00002212765],"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":[0.000041858,0.00003247468,0.000376029,0.00004286298,0.00000708846,0.0000460169,0.00002406903,0.0009948105,0.9927394,0.0002412125,0.0003453002,0.005108817],"study_design_scores_gemma":[0.00001065113,0.00006222397,0.005564896,0.000009919186,0.00001048995,0.0001571511,0.00002600338,0.02892321,0.9629849,0.000287144,0.001946517,0.00001685477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7773718,0.001688804,0.2086243,0.000658771,0.00007510583,0.0001396119,0.002497574,0.002373433,0.006570587],"genre_scores_gemma":[0.8345788,0.001342706,0.155107,0.0003896819,0.00003266693,0.0002859742,0.001737237,0.0003180828,0.0062079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002117068,"threshold_uncertainty_score":0.005190909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009691495959859733,"score_gpt":0.2812805686757335,"score_spread":0.2715890727158737,"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."}}