{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001294023,0.0001232817,0.00009361015,0.00004841169,0.00005806388,0.00002424198,0.00007954925,0.0000833074,0.00003491952],"category_scores_gemma":[0.00002264155,0.0001254702,0.00004115924,0.00005264856,0.00001110123,0.000003133456,0.00006516174,0.00003666764,0.00002524661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002809839,"about_ca_system_score_gemma":0.00008465225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008450116,"about_ca_topic_score_gemma":0.00005696691,"domain_scores_codex":[0.9991799,0.00000904602,0.0002057919,0.0002675734,0.00008830948,0.0002493874],"domain_scores_gemma":[0.999696,0.000008765488,0.00002674786,0.0001469078,0.00006612455,0.00005552052],"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":[0.00001441345,0.00002772697,0.002499697,0.0000234721,0.00002786131,8.134714e-7,0.00008276106,0.0007835297,0.919668,0.000023936,0.00372078,0.07312704],"study_design_scores_gemma":[0.000350132,0.00003258036,0.03372166,0.00001070415,0.000003852463,0.00000830805,0.0000677233,0.00008837778,0.7726079,0.00005528154,0.1928597,0.0001938047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8523576,0.002866558,0.1429249,0.0001246956,0.0003909863,0.0004484274,0.000001924763,0.00001785753,0.0008670293],"genre_scores_gemma":[0.9640592,0.0001291588,0.03401755,0.0001925503,0.0001979237,0.0003259779,0.0001277029,0.00002339247,0.0009265176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1891389,"threshold_uncertainty_score":0.5116526,"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."}}