{"id":"W7101091265","doi":"","title":"MARIE-ODILE BENOIT-BIANCAMANO ETUDE DE LA PHARMACOCINETIQUE ET DE LA PHARMACOGÉNÉTIQUE D'UN IMMUNOSUPPRESSEUR","year":2014,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human physiology; Set (abstract data type); Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001502641,0.0002697163,0.0002089847,0.0000312079,0.0001214014,0.0001016141,0.000432648,0.0003926855,0.0003543955],"category_scores_gemma":[0.0003292291,0.0002242855,0.0001538397,0.000076775,0.0001627282,0.000005741445,0.0003358646,0.0003919623,0.0000283615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064447,"about_ca_system_score_gemma":0.0000918472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008566532,"about_ca_topic_score_gemma":0.000007497189,"domain_scores_codex":[0.9974325,0.001278211,0.0002560981,0.0004414604,0.0001024954,0.0004892579],"domain_scores_gemma":[0.9990425,0.0003522305,0.0000886069,0.0002843194,0.00005986067,0.0001724945],"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":[0.00009143461,0.000147453,0.003946537,0.00002064786,0.00007296682,0.000008334184,0.00006249874,0.0001655415,0.9814327,0.0009394587,0.005900379,0.007212009],"study_design_scores_gemma":[0.0008175976,0.0001297945,0.003594404,0.00001069331,0.00002633494,0.00006138319,0.00001282075,0.0003855395,0.583342,0.0005724172,0.4107646,0.0002823507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181904,0.0004874146,0.0231583,0.0003353787,0.00009176879,0.0001499233,0.00001227073,0.00009038275,0.05748419],"genre_scores_gemma":[0.9838834,0.0006434025,0.007898006,0.005323338,0.0004364809,0.0000279693,0.0001227178,0.00003515482,0.001629576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4048643,"threshold_uncertainty_score":0.9146098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961496773594026,"score_gpt":0.361627119923787,"score_spread":0.3420121521878468,"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."}}