{"id":"W2031776061","doi":"10.1371/journal.pone.0095236","title":"Conditional Reverse Tet-Transactivator Mouse Strains for the Efficient Induction of TRE-Regulated Transgenes in Mice","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Health and Medical Research Council; National Cancer Institute; National Institute of General Medical Sciences; Medical Research Council; Canadian Institutes of Health Research; Howard Hughes Medical Institute","keywords":"Transactivation; Transgene; Biology; Doxycycline; Genetically modified mouse; Gene expression; Regulation of gene expression; Computational biology; Gene; Cell biology; Molecular biology; Genetics; Antibiotics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002821796,0.00008960254,0.0001210846,0.00005166426,0.00005043089,0.000005955381,0.0001391692,0.00009610858,0.00003567813],"category_scores_gemma":[0.00004898708,0.00007403419,0.00006208404,0.00009506072,0.0001052988,0.000002561076,0.000007137394,0.00007545225,0.000001931047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001449326,"about_ca_system_score_gemma":0.00005657927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954519,"about_ca_topic_score_gemma":0.0001243904,"domain_scores_codex":[0.9992281,0.000068368,0.0001614594,0.0001919841,0.0001862078,0.0001638586],"domain_scores_gemma":[0.9995884,0.00003626005,0.00004624934,0.0001928737,0.0001055411,0.0000306989],"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":[0.001033753,0.000672274,0.00003932992,0.00004883039,0.0001359902,8.35624e-8,0.00006141907,0.001955134,0.9952785,0.00003408815,0.00003814927,0.0007024206],"study_design_scores_gemma":[0.001219271,0.0008035222,0.0005512737,0.00001702994,0.00002966204,3.807786e-7,0.0000500524,0.001790794,0.9952309,0.00004161885,0.0001798296,0.0000856234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967968,0.0001308794,0.002013184,0.0004137262,0.00001538057,0.0004721058,0.0001257939,0.000006235808,0.00002582463],"genre_scores_gemma":[0.999137,0.0000344738,0.000234226,0.00008253304,0.00009708113,0.00007858138,0.0001405484,0.00001828926,0.0001772974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0023401,"threshold_uncertainty_score":0.3019027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660734450806778,"score_gpt":0.2677194983104781,"score_spread":0.2311121538024103,"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."}}