{"id":"W3108386878","doi":"10.17504/protocols.io.x37fqrn","title":"Tranfection of sgRNA using SpCas9 containing plasmids to generate cell lines with Cas9 v1","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; Electroporation; Ribonucleoprotein; Subgenomic mRNA; Plasmid; CRISPR; Nuclease; Genome editing; Transfection; Guide RNA; Biology; Cell biology; Chemistry; Molecular biology; RNA; Cell culture; Computational biology; Genetics; 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":[0.0002716204,0.0006547684,0.0004543718,0.0005788738,0.0004827556,0.0008189599,0.0006420326,0.000577639,0.008920526],"category_scores_gemma":[0.0002244106,0.0004207009,0.0004222725,0.0004711609,0.0002077876,0.0004249421,0.0007054241,0.001599093,0.01251973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247131,"about_ca_system_score_gemma":0.0003405646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006360921,"about_ca_topic_score_gemma":0.001055357,"domain_scores_codex":[0.999675,0.00001832213,0.00003188124,0.0001055003,0.0001239329,0.00004525296],"domain_scores_gemma":[0.9998546,0.00001980872,0.00001529016,0.00005827584,0.00002659616,0.00002553316],"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":[0.00004051668,0.00002757846,0.0001639929,0.00006494733,0.000008004829,0.0001350389,0.00005379072,0.00007844393,0.9898519,0.001652821,0.001867798,0.006055247],"study_design_scores_gemma":[0.00001243588,0.00003489473,0.0009174704,0.000008245037,0.00001279235,0.0004890325,0.00001791812,0.0008019822,0.9286095,0.0003310989,0.06875376,0.00001088534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4253548,0.002378465,0.4210306,0.0007377251,0.00220399,0.002365924,0.04230538,0.01454714,0.08907598],"genre_scores_gemma":[0.5269758,0.002864811,0.2028675,0.0005309731,0.0001509548,0.001580038,0.09136899,0.004808833,0.168852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008920526,"threshold_uncertainty_score":0.02984214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333683070782405,"score_gpt":0.2929628412221142,"score_spread":0.2796260105142902,"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."}}