{"id":"W2909900319","doi":"10.1016/j.dmpk.2018.09.074","title":"A mouse model for investigating human brain CYP2D6","year":2019,"lang":"en","type":"article","venue":"Drug Metabolism and Pharmacokinetics","topic":"Eicosanoids and Hypertension Pharmacology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"CYP2D6; Human brain; Neuroscience; Computational biology; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008761032,0.001881716,0.0008312534,0.00254126,0.0007867976,0.001013424,0.001002436,0.001474442,0.008014792],"category_scores_gemma":[0.0003257894,0.0005830401,0.001198923,0.0007542928,0.001058389,0.001163032,0.0005716379,0.003609345,0.002142669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007090258,"about_ca_system_score_gemma":0.0005091825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076781,"about_ca_topic_score_gemma":0.002601768,"domain_scores_codex":[0.9994377,0.00008702663,0.00006242617,0.000184638,0.000153143,0.00007503088],"domain_scores_gemma":[0.9994228,0.00009128913,0.0001627388,0.0001071646,0.0000633171,0.0001528165],"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":[0.001852078,0.0008602458,0.001348321,0.000185482,0.000141863,0.0009284636,0.00009354395,0.0002582289,0.9806279,0.004201098,0.0022584,0.007244342],"study_design_scores_gemma":[0.0007389888,0.002651727,0.006141993,0.00012127,0.0007117583,0.005396721,0.0002955333,0.002662666,0.9192082,0.002075678,0.05992831,0.00006724145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8204441,0.008196174,0.1248129,0.004299149,0.001632923,0.001223592,0.02599776,0.002612682,0.01078058],"genre_scores_gemma":[0.8073712,0.01069242,0.09112854,0.001871141,0.0003578076,0.0030663,0.02115392,0.001351554,0.06300703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008014792,"threshold_uncertainty_score":0.0268122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137510129272833,"score_gpt":0.3007257234015827,"score_spread":0.2793506221088544,"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."}}