{"id":"W2790778573","doi":"10.1534/g3.117.300327","title":"Inducible Genome Editing with Conditional CRISPR/Cas9 Mice","year":2018,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"McGill University; Lymphoma Research Foundation","keywords":"CRISPR; Genome editing; Cas9; Computational biology; Biology; Genetics; Computer science; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001725662,0.0003602132,0.0002324974,0.0001246716,0.0002415571,0.00006751106,0.0003804977,0.0002111619,0.0001286594],"category_scores_gemma":[0.000006706295,0.0003551598,0.0000952045,0.0002419397,0.0002491036,0.000005690188,0.0002145028,0.0001274314,0.0001052017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731671,"about_ca_system_score_gemma":0.0001425806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009366983,"about_ca_topic_score_gemma":0.00007933844,"domain_scores_codex":[0.9980396,0.00003772093,0.000327906,0.0006850988,0.000288778,0.0006208887],"domain_scores_gemma":[0.9987302,0.00001241419,0.000112724,0.0006230467,0.0003064421,0.0002151354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000663653,0.00006616428,0.004457405,0.00005012165,0.0002080323,0.00001249861,0.0002410967,0.004934411,0.9121333,0.0000629059,0.000966324,0.07680143],"study_design_scores_gemma":[0.0005686435,0.0006801087,0.002465475,0.000009612118,0.00005411717,0.0001268214,0.0002109848,0.0002771411,0.4616524,0.00007430033,0.5333945,0.0004859274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6531086,0.2149427,0.1246505,0.0002696974,0.0009843349,0.0006457668,0.0002146595,0.0001104724,0.00507331],"genre_scores_gemma":[0.9696722,0.01063303,0.01350694,0.0004657817,0.004273987,0.00004671922,0.0004629417,0.0001048799,0.0008335178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5324281,"threshold_uncertainty_score":0.99989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009883502025762634,"score_gpt":0.2817411919817457,"score_spread":0.271857689955983,"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."}}