{"id":"W2131666040","doi":"10.1111/vaa.12257","title":"Chloramphenicol significantly affects the pharmacokinetics of oral methadone in Greyhound dogs","year":2015,"lang":"en","type":"article","venue":"Veterinary Anaesthesia and Analgesia","topic":"Veterinary Pharmacology and Anesthesia","field":"Veterinary","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Mallinckrodt Pharmaceuticals; University of Kansas; Teva Pharmaceutical Industries; Agilent Technologies","keywords":"Pharmacokinetics; Methadone; Cmax; Chloramphenicol; Medicine; Pharmacology; Ketoconazole; Cimetidine; Anesthesia; Antibiotics; Biology; Microbiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001296878,0.0004560672,0.0006635769,0.0002762381,0.00015236,0.00005013036,0.000562617,0.0001981087,0.00009242612],"category_scores_gemma":[0.00003176094,0.0003526706,0.0001513871,0.0005925527,0.000526916,0.0003432464,0.00018207,0.0004299307,0.00003255837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005163642,"about_ca_system_score_gemma":0.00009548409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001827142,"about_ca_topic_score_gemma":0.00001020166,"domain_scores_codex":[0.9970774,0.0008597151,0.000551063,0.0005689768,0.0003469067,0.0005959229],"domain_scores_gemma":[0.9987662,0.0001579225,0.0002565215,0.0004689524,0.00006894682,0.0002814763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03183691,0.004194491,0.1853184,0.001307315,0.00107814,0.05856415,0.0113076,0.0006106292,0.5910591,0.01015039,0.008539909,0.09603286],"study_design_scores_gemma":[0.02168529,0.07093094,0.6567149,0.0007398079,0.001296683,0.03468744,0.005678112,0.01423862,0.008130199,0.006304161,0.1749578,0.004636036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957597,0.00136455,0.00005654012,0.001374597,0.0001463859,0.0005694111,0.000008568829,0.0000837637,0.0006364437],"genre_scores_gemma":[0.9981583,0.0003603047,0.0005911673,0.0005463505,0.00008480424,0.00008184388,0.00001114518,0.00005494406,0.0001110789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.582929,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09696386305457447,"score_gpt":0.3474944258031487,"score_spread":0.2505305627485742,"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."}}