{"id":"W2150856504","doi":"10.1101/gad.227132.113","title":"Repurposing CRISPR/Cas9 for in situ functional assays","year":2013,"lang":"en","type":"article","venue":"Genes & Development","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Hyacinthe; Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Biology; Cas9; Genome editing; Computational biology; Trans-activating crRNA; Genetics; Gene; Genome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001265966,0.001182095,0.000769294,0.0007432441,0.0004777033,0.001046816,0.001243015,0.0009654831,0.003134663],"category_scores_gemma":[0.0007778036,0.0005761832,0.0007337613,0.0003675983,0.000537792,0.0005018672,0.0007712873,0.001776032,0.001808594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005632401,"about_ca_system_score_gemma":0.0004384991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007256742,"about_ca_topic_score_gemma":0.001406279,"domain_scores_codex":[0.9988468,0.0002130399,0.0001368988,0.0002787325,0.0004235512,0.0001009592],"domain_scores_gemma":[0.9993756,0.0002190486,0.0001045853,0.000156964,0.00008756433,0.00005623981],"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":[0.00001720426,0.0000150015,0.0000449453,0.00005044394,0.000007177126,0.00003116966,0.000009626468,0.0001183067,0.9975395,0.0001919427,0.00008686847,0.001887896],"study_design_scores_gemma":[0.000003228391,0.00003582154,0.0001795888,0.000002539034,0.000009099231,0.00009749625,0.000004920408,0.001227165,0.995831,0.00008753262,0.002514634,0.000006983006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2062104,0.001165653,0.7754712,0.0004606881,0.0003665863,0.0009398054,0.002976362,0.005630191,0.006779093],"genre_scores_gemma":[0.4926621,0.001756545,0.4876024,0.0003160143,0.00006889959,0.0009387343,0.004149067,0.0009830948,0.01152322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003134663,"threshold_uncertainty_score":0.01048648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241239281928726,"score_gpt":0.2702902064678475,"score_spread":0.2578778136485603,"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."}}