{"id":"W4229853727","doi":"10.17504/protocols.io.x38fqrw","title":"Tranfection of sgRNA using SpCas9 containing plasmids to generate cell lines with Cas9 v2","year":2019,"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":"Canadian Institute for Advanced Research","funders":"","keywords":"Cas9; Ribonucleoprotein; Electroporation; Plasmid; Subgenomic mRNA; Nuclease; CRISPR; Guide RNA; Transfection; Genome editing; Biology; Cell biology; RNA; Computational biology; Molecular biology; Chemistry; Cell culture; Genetics; DNA; Gene","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":[0.000288451,0.000691849,0.0004661404,0.0005903856,0.0004967805,0.0008715006,0.0006589125,0.0006001705,0.00909734],"category_scores_gemma":[0.0002280838,0.0004510134,0.0004349507,0.0004862086,0.0002119213,0.0004432724,0.0007392869,0.001629613,0.01257548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003207099,"about_ca_system_score_gemma":0.0003362757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006525531,"about_ca_topic_score_gemma":0.001067695,"domain_scores_codex":[0.9996568,0.00001964562,0.00003429203,0.0001114562,0.0001304738,0.00004726152],"domain_scores_gemma":[0.9998462,0.00002059206,0.00001555395,0.00006258172,0.00002795242,0.00002705591],"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":[0.00004169458,0.00002716795,0.0001598073,0.0000610554,0.000008238204,0.0001342615,0.00005362796,0.00007708306,0.9906908,0.001518417,0.001798308,0.005429575],"study_design_scores_gemma":[0.00001337181,0.00003594695,0.0009034882,0.00000799528,0.00001275244,0.0004962314,0.00001808913,0.0008332548,0.9299457,0.0003034536,0.06741837,0.00001130862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4285698,0.002284494,0.4196229,0.0007267372,0.002182662,0.002395773,0.04197803,0.01448939,0.08775017],"genre_scores_gemma":[0.5285356,0.002656379,0.1976952,0.0005578932,0.0001515159,0.00162343,0.09036414,0.005082242,0.1733337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00909734,"threshold_uncertainty_score":0.03043365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318747352859828,"score_gpt":0.2948909751810117,"score_spread":0.2817035016524134,"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."}}