{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004979266,0.0007071256,0.0008984456,0.001614009,0.002291014,0.003446045,0.0007603311,0.002323445,0.01646185],"category_scores_gemma":[0.009073192,0.0005154039,0.0005132912,0.0006352639,0.001666175,0.001800101,0.00203869,0.004736484,0.006972041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002992913,"about_ca_system_score_gemma":0.005017409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01588478,"about_ca_topic_score_gemma":0.01283999,"domain_scores_codex":[0.9973885,0.0007668607,0.00007842744,0.0004878484,0.0009768928,0.0003013915],"domain_scores_gemma":[0.9942166,0.001998239,0.0003715468,0.00008693164,0.001610882,0.001715808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001684616,0.0004719998,0.01560235,0.0009391765,0.0001127684,0.002846739,0.004457318,0.0005752015,0.005786533,0.04689654,0.7065274,0.2140993],"study_design_scores_gemma":[0.00006636433,0.0001893164,0.008463728,0.000555972,0.00003550462,0.003533323,0.001293779,0.0002887603,0.004186608,0.004595885,0.9766991,0.00009150534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03460437,0.2454177,0.007806603,0.5798693,0.03550052,0.0001867346,0.001066176,0.0005137697,0.09503483],"genre_scores_gemma":[0.179322,0.1803861,0.007183438,0.08979954,0.01097131,0.0002594433,0.0005911744,0.0007047138,0.5307822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01646185,"threshold_uncertainty_score":0.0550704,"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."}}