{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002980855,0.0005568519,0.0002978659,0.0006998279,0.0001626547,0.0003678853,0.0005473762,0.0005659792,0.003532652],"category_scores_gemma":[0.00017559,0.0002502922,0.0004364184,0.0002868398,0.0002780442,0.0002604172,0.0003906612,0.0009502071,0.00104339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002838809,"about_ca_system_score_gemma":0.0003546655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003801399,"about_ca_topic_score_gemma":0.0009869853,"domain_scores_codex":[0.9997678,0.00003907757,0.0000294601,0.00006076366,0.00006804539,0.00003485792],"domain_scores_gemma":[0.9998493,0.0000273525,0.00005495477,0.00002993423,0.00001088473,0.00002759781],"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":[0.00007101177,0.00004221303,0.0003528465,0.00006768841,0.00002452216,0.0001330254,0.00001956631,0.0002744282,0.9903253,0.001751538,0.0004256647,0.006512139],"study_design_scores_gemma":[0.00004824328,0.0002118048,0.002433991,0.00002636374,0.00006363342,0.001040594,0.00002930812,0.003279996,0.9631618,0.0009389739,0.02874755,0.00001772528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6187428,0.003300787,0.3450418,0.0009042824,0.0004839966,0.0006180589,0.007045015,0.006101215,0.01776198],"genre_scores_gemma":[0.8860045,0.002364616,0.09012754,0.0003771488,0.00004064613,0.0002767767,0.004302884,0.0004903694,0.01601561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003532652,"threshold_uncertainty_score":0.01181787,"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."}}