{"id":"W4388073164","doi":"10.3390/ijms242115835","title":"Analysis of Potential Gene Doping Preparations for Transgenic DNA in the Context of Sports Drug Testing Programs","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Context (archaeology); Transgene; Gene; Polymerase chain reaction; Promoter; Complementary DNA; Primer (cosmetics); Real-time polymerase chain reaction; Molecular biology; Computational biology; Biology; Chemistry; Genetics; Gene expression","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":[0.0006907677,0.00004833904,0.0001062546,0.0002448337,0.00002193389,0.00001764903,0.0003591545,0.00002022959,0.000001234189],"category_scores_gemma":[0.00009029206,0.00003689198,0.0001698777,0.0004876775,0.00006971737,0.000005258166,0.00002065301,0.00002875177,3.827931e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004173699,"about_ca_system_score_gemma":0.00007074395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000831075,"about_ca_topic_score_gemma":0.00002002131,"domain_scores_codex":[0.9991351,0.00002286238,0.0003252946,0.00009258144,0.0003418944,0.00008227914],"domain_scores_gemma":[0.9994586,0.00002868638,0.0001831133,0.000064763,0.0002495583,0.00001531927],"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":[0.00003016692,0.0000374686,0.005584673,0.000006554154,0.000261217,0.000008155584,0.0005076601,0.1161523,0.8703394,0.00007092429,0.00001241602,0.006989072],"study_design_scores_gemma":[0.0005883173,0.0002977776,0.03032523,0.00007167563,0.0002468563,0.00004219948,0.001766319,0.0234623,0.9427013,0.0002465317,0.0001357894,0.0001156455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971587,0.0002999033,0.02770337,0.0001676846,0.0001237087,0.00008130683,0.000007803877,0.000001268514,0.00002792963],"genre_scores_gemma":[0.997696,0.00004635922,0.002167909,0.00002406905,0.00004035161,0.000004176507,0.00001375256,0.000002662603,0.000004764814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09269003,"threshold_uncertainty_score":0.1504411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804893527822075,"score_gpt":0.3359490986323033,"score_spread":0.3179001633540825,"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."}}