{"id":"W2148508291","doi":"10.1093/bfgp/elm022","title":"EUCOMM the European Conditional Mouse Mutagenesis Program","year":2007,"lang":"en","type":"article","venue":"Briefings in Functional Genomics and Proteomics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Biology; Mutagenesis; Mutant; Cre recombinase; Genetics; Gene targeting; Conditional gene knockout; Embryonic stem cell; Gene; Gene knockin; Insertional mutagenesis; Computational biology; Recombinase; Mutation; Transgene; Phenotype; Genetically modified mouse; Recombination","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006900855,0.0001288875,0.00007869547,0.00004067604,0.0001273504,0.00004462582,0.0001058247,0.00006946253,0.000008391457],"category_scores_gemma":[0.00003824222,0.0001152039,0.00004805526,0.0000636927,0.00008699062,0.000003055038,0.0001061825,0.0001206342,0.000004463508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001880112,"about_ca_system_score_gemma":0.00003441905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002497825,"about_ca_topic_score_gemma":0.0000509153,"domain_scores_codex":[0.999214,0.00002887176,0.0002085221,0.0002461772,0.00008630846,0.0002161511],"domain_scores_gemma":[0.9996734,0.00002109823,0.00004749177,0.0001569588,0.00004217826,0.0000588332],"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":[0.0002788328,0.0001659406,0.007204873,0.00003980141,0.0000975701,0.00001310901,0.0001812051,0.007556479,0.9337903,0.002323224,0.002862965,0.04548566],"study_design_scores_gemma":[0.001653265,0.0003055927,0.2559503,0.00001377528,0.00002755053,0.0002353827,0.0001680108,0.0009386784,0.2540911,0.001117852,0.4848461,0.0006522966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442587,0.0004957136,0.05271,0.0003714785,0.0001030835,0.0004006547,0.00002267355,0.00001863344,0.001618991],"genre_scores_gemma":[0.9891688,0.0002074595,0.008525663,0.0008891259,0.0005020023,0.00003871365,0.0001815488,0.00003602792,0.0004506216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6796992,"threshold_uncertainty_score":0.469788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008958210877697763,"score_gpt":0.258466564914948,"score_spread":0.2495083540372502,"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."}}