{"id":"W3153594903","doi":"10.1038/s41467-021-22651-w","title":"CRISPR-based genome editing in primary human pancreatic islet cells","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas; University of Alberta; Instituto Nacional de Pesquisas da Amazônia; Allegheny Health Network; Ministerio de Ciencia e Innovación; Wellcome Trust; Medical Research Council; Stanford Diabetes Research Center; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"CRISPR; Genome editing; Biology; Genome; Transcription activator-like effector nuclease; Computational biology; Islet; Genetics; Gene; Biotechnology","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":[0.0003823229,0.0002757049,0.000370545,0.000155249,0.0001692685,0.0005496442,0.00033438,0.0003780988,0.002622558],"category_scores_gemma":[0.0002043687,0.0001912671,0.0003331679,0.0001419735,0.0002313032,0.0001094966,0.0003159624,0.0007242168,0.0007635575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261325,"about_ca_system_score_gemma":0.0002309544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005970215,"about_ca_topic_score_gemma":0.0007943235,"domain_scores_codex":[0.99971,0.00005915103,0.00002807787,0.00008904127,0.00007646,0.00003710055],"domain_scores_gemma":[0.9998608,0.00004428468,0.00002170051,0.00003765617,0.00001323912,0.00002238392],"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":[0.00008354235,0.000024355,0.0001624692,0.00005851852,0.00001566666,0.0001734993,0.00002601476,0.0003028396,0.9953028,0.0004942396,0.0003511076,0.00300493],"study_design_scores_gemma":[0.00003525028,0.0001907867,0.001151562,0.00001055867,0.00002968173,0.0006144388,0.0000238233,0.002412103,0.9791662,0.0002495692,0.01610666,0.000009347808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577444,0.003741834,0.2055658,0.0006951818,0.0007875196,0.0006569401,0.006801812,0.00373562,0.02027088],"genre_scores_gemma":[0.9417915,0.001617966,0.04373645,0.0002230931,0.00003940295,0.0002608446,0.002530393,0.0002140373,0.009586334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002622558,"threshold_uncertainty_score":0.008773267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234714910003432,"score_gpt":0.302283627403215,"score_spread":0.2799364783031807,"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."}}