{"id":"W4255082801","doi":"10.17504/protocols.io.x39fqr6","title":"Tranfection of sgRNA using SpCas9 containing plasmids to generate cell lines with Cas9 v3","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; Nuclease; CRISPR; Transfection; Genome editing; Guide RNA; Biology; Computational biology; Molecular biology; Cell culture; Cell biology; RNA; Chemistry; 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":[0.0002739833,0.0006506732,0.0004522865,0.0005700198,0.0005014598,0.0008457615,0.0006503462,0.0005901975,0.009101945],"category_scores_gemma":[0.000227109,0.0004207992,0.0004546859,0.0004817717,0.0002143602,0.000418749,0.0007439039,0.00165607,0.01270831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003348415,"about_ca_system_score_gemma":0.000358404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007209954,"about_ca_topic_score_gemma":0.00116984,"domain_scores_codex":[0.9996719,0.00001859584,0.00003208798,0.0001029405,0.0001272431,0.0000472315],"domain_scores_gemma":[0.999849,0.00002033886,0.00001557555,0.00006070986,0.00002770552,0.00002668154],"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":[0.00004247847,0.00002674519,0.000168241,0.00006131694,0.000008262787,0.0001402107,0.00005486512,0.00007777044,0.9899383,0.001646769,0.001899039,0.005936075],"study_design_scores_gemma":[0.00001341383,0.00003604809,0.0009544026,0.000008505041,0.00001314548,0.0005145094,0.00001862913,0.0008378045,0.9281012,0.0003501601,0.06914045,0.00001167661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4156083,0.002208337,0.4320492,0.0007241228,0.002126258,0.002339484,0.0415496,0.01496808,0.08842669],"genre_scores_gemma":[0.5278502,0.00267392,0.2050534,0.0005665839,0.0001450422,0.001579427,0.0903849,0.0052225,0.1665241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009101945,"threshold_uncertainty_score":0.03044909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323732622764831,"score_gpt":0.2949913527984972,"score_spread":0.2817540265708489,"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."}}