{"id":"W2902954927","doi":"10.1002/jbm4.10128","title":"Promoter Cre‐Specific Genotyping Assays for Authentication of Cre‐Driver Mouse Lines","year":2018,"lang":"en","type":"article","venue":"JBMR Plus","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Aging; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging; National Institutes of Health","keywords":"Cre recombinase; Computational biology; Biology; Transgene; Gene knockin; Gene; Genotyping; Function (biology); Gene knockout; Cre-Lox recombination; Cell culture; Gene targeting; Genetically modified mouse; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289002,0.0001065078,0.0001142111,0.0000339287,0.00008577897,0.00001008561,0.0001816888,0.0001777404,0.00002627467],"category_scores_gemma":[0.00003424672,0.00009815105,0.00008865087,0.00005721785,0.0001452231,0.000002345334,0.00007412766,0.00003954926,0.000009137602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001178181,"about_ca_system_score_gemma":0.00003641279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000578146,"about_ca_topic_score_gemma":0.000007702122,"domain_scores_codex":[0.999275,0.00002256805,0.0001967446,0.0002907662,0.00005399092,0.0001609271],"domain_scores_gemma":[0.9992173,0.000007418654,0.0001076529,0.0004168726,0.0002136867,0.00003703684],"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":[0.00004401449,0.00004134168,0.0001158066,0.00001427771,0.00002434035,1.036534e-7,0.00004909094,0.000001898489,0.9913001,0.002431492,0.004129621,0.001847896],"study_design_scores_gemma":[0.0002705232,0.0002451489,0.000465866,0.000007529074,0.00001649979,0.000003231898,0.00001131517,0.0004482949,0.8825031,0.0005288143,0.1153756,0.0001240901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6441593,0.0002288183,0.3533997,0.0003175421,0.00007090485,0.0006729935,0.00006059141,0.00003604492,0.001054176],"genre_scores_gemma":[0.9671063,0.00008086309,0.03033514,0.0001660386,0.0003701253,0.0001716441,0.0002968823,0.000024377,0.001448629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3230645,"threshold_uncertainty_score":0.4002484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825090628568931,"score_gpt":0.2931914155416858,"score_spread":0.2749405092559964,"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."}}