{"id":"W2082565074","doi":"10.1093/nar/gkp112","title":"Efficient mouse transgenesis using Gateway-compatible ROSA26 locus targeting vectors and F1 hybrid ES cells","year":2009,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Biology; Transgene; Gene targeting; Gene; Transgenesis; Gene knockin; Phenotype; Embryonic stem cell; Cloning (programming); Complementary DNA; Locus (genetics); Cre recombinase; Cell biology; Genetics; Molecular biology; Genetically modified mouse; Computational biology; Embryogenesis","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":[0.0008401157,0.0009482368,0.0005402098,0.001129595,0.0003973104,0.0006045504,0.0009914567,0.0008526495,0.004129612],"category_scores_gemma":[0.0002824186,0.0006768858,0.0004849697,0.000639468,0.0005177635,0.0003986092,0.0006064764,0.00150088,0.003911301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203884,"about_ca_system_score_gemma":0.0004463862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003623081,"about_ca_topic_score_gemma":0.0007949546,"domain_scores_codex":[0.9995265,0.00005195944,0.00007031734,0.000124206,0.0001711912,0.00005583256],"domain_scores_gemma":[0.9997259,0.00004017811,0.00008830688,0.00005321146,0.00003280803,0.00005965179],"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":[0.00003915382,0.00002404581,0.00007096078,0.0000634909,0.000005979684,0.0001136056,0.00002912802,0.00009609861,0.995839,0.000508624,0.0002596994,0.002950211],"study_design_scores_gemma":[0.00005678293,0.0002086993,0.001495461,0.00003412581,0.00003567708,0.001213449,0.00003290082,0.001130858,0.9579222,0.0003575948,0.0374889,0.00002342471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4344976,0.005209876,0.5158049,0.0008642015,0.0005951261,0.00297022,0.01196651,0.008301423,0.01979025],"genre_scores_gemma":[0.4789508,0.01167009,0.4293363,0.0004231797,0.0001314778,0.002579092,0.01951163,0.001944834,0.05545266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004129612,"threshold_uncertainty_score":0.01381493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154511085377818,"score_gpt":0.334855798846503,"score_spread":0.3133106879927248,"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."}}