{"id":"W3197162173","doi":"10.1016/j.ymeth.2021.09.002","title":"A streamlined CRISPR workflow to introduce mutations and generate isogenic iPSCs for modeling amyotrophic lateral sclerosis","year":2021,"lang":"en","type":"article","venue":"Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Québec Consortium for Drug Discovery; McGill University; U.S. Department of Defense","keywords":"CRISPR; Induced pluripotent stem cell; Genome editing; Biology; Mutation; Amyotrophic lateral sclerosis; Cas9; Genetics; Computational biology; Gene; Disease; Embryonic stem cell; Medicine","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":[0.0006355098,0.0005928096,0.0005734952,0.0006678922,0.0003505007,0.0009242636,0.0008884395,0.0008261997,0.002056419],"category_scores_gemma":[0.0003479505,0.0004732113,0.0006241778,0.000295747,0.0003362501,0.0003049114,0.0006507837,0.001707597,0.001916122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958646,"about_ca_system_score_gemma":0.0005276785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000872161,"about_ca_topic_score_gemma":0.0009006333,"domain_scores_codex":[0.9994096,0.00005587294,0.00008577538,0.0001531297,0.0002422847,0.00005336597],"domain_scores_gemma":[0.9997856,0.00003771274,0.00003770221,0.00005284234,0.00004686007,0.00003933251],"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":[0.00005961955,0.00004956243,0.0001897311,0.000113456,0.00001861646,0.0002728295,0.00008923322,0.003049565,0.9799643,0.001908004,0.0008109639,0.01347421],"study_design_scores_gemma":[0.00003156307,0.0001868304,0.0006830115,0.00003649729,0.00004628321,0.0006113607,0.00003655254,0.01541957,0.9445127,0.0008218762,0.03756093,0.00005291342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1297042,0.001266175,0.8393254,0.0002914646,0.0004520833,0.001303941,0.005691917,0.01197611,0.009988602],"genre_scores_gemma":[0.3408574,0.002348928,0.6321645,0.0002578445,0.0000588109,0.002764786,0.007592146,0.001505281,0.01245036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002056419,"threshold_uncertainty_score":0.006879389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664849502571205,"score_gpt":0.3839700008920612,"score_spread":0.3473215058663491,"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."}}