{"id":"W4375930638","doi":"10.17504/protocols.io.36wgqj48yvk5/v1","title":"CRISPR/Cas9 generation of knock-out iPSCs v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stemcell Technologies","funders":"","keywords":"CRISPR; Induced pluripotent stem cell; Gene knockin; Cas9; Genome editing; Lipofectamine; Transfection; Biology; Subgenomic mRNA; Gene knockout; Computational biology; Recombinant DNA; Genetics; Gene; Molecular biology; Cell biology; Embryonic stem cell; 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":[0.0008131415,0.001061638,0.0008895463,0.001270782,0.0007809128,0.001126477,0.00125512,0.0009038088,0.01678946],"category_scores_gemma":[0.0004868507,0.0007868812,0.0006858504,0.0007152996,0.0003869418,0.0004282426,0.00122321,0.002489871,0.02116013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873101,"about_ca_system_score_gemma":0.0006722119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00084471,"about_ca_topic_score_gemma":0.001488361,"domain_scores_codex":[0.9991416,0.00006474584,0.00007868391,0.0002016139,0.0003875171,0.0001257154],"domain_scores_gemma":[0.9996713,0.00005053073,0.00002900637,0.0001214739,0.0000622942,0.00006535952],"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":[0.0001753439,0.00006904753,0.0002282001,0.0002499416,0.00003076885,0.0003962671,0.0000924964,0.0006256128,0.96205,0.006886757,0.01181485,0.01738078],"study_design_scores_gemma":[0.00003989072,0.00006059021,0.0008422903,0.00003910723,0.00003269295,0.001012841,0.00002116222,0.002077631,0.8534656,0.001213816,0.1411581,0.00003617534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.124164,0.002214929,0.679407,0.0006752222,0.001514288,0.002627568,0.06486753,0.02913374,0.09539574],"genre_scores_gemma":[0.2292105,0.003002031,0.432157,0.0007326533,0.0002149989,0.002663056,0.1174932,0.01495083,0.1995759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01678946,"threshold_uncertainty_score":0.05616635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690513982887454,"score_gpt":0.3353615733089497,"score_spread":0.3084564334800751,"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."}}