{"id":"W4253542280","doi":"10.17504/protocols.io.x36fqre","title":"Tranfection of 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":"Plasmid; CRISPR; Computer science; 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":[0.000448122,0.0006427559,0.000641812,0.0005505744,0.0004671105,0.001045019,0.0008616709,0.0009138993,0.01179116],"category_scores_gemma":[0.0005349574,0.0005283733,0.0004987797,0.000529798,0.0003542813,0.0005338058,0.0009576411,0.002431565,0.01087676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431099,"about_ca_system_score_gemma":0.0004019793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009577355,"about_ca_topic_score_gemma":0.001204438,"domain_scores_codex":[0.9995376,0.0000321081,0.00005015064,0.0001502661,0.0001416498,0.00008821139],"domain_scores_gemma":[0.9996951,0.00005487392,0.00002496833,0.0001095012,0.00005434417,0.00006117029],"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":[0.0001100196,0.00003766197,0.0002225395,0.0001335164,0.00001358732,0.0001769719,0.00008330586,0.0000656117,0.9901586,0.001691613,0.002630392,0.004676138],"study_design_scores_gemma":[0.00003578169,0.00004939507,0.00121212,0.0000135831,0.00002361748,0.0004607533,0.00003433182,0.001052464,0.9340095,0.0003490995,0.06274444,0.00001495033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.624653,0.002785329,0.2462781,0.001823688,0.003062563,0.001895638,0.05289541,0.01050867,0.05609754],"genre_scores_gemma":[0.665475,0.002198869,0.1030107,0.0006848869,0.0001595417,0.001342516,0.07760738,0.003953408,0.1455678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01179116,"threshold_uncertainty_score":0.0394454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007955930778892336,"score_gpt":0.2723668526327777,"score_spread":0.2644109218538854,"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."}}