{"id":"W2178723052","doi":"10.2967/jnumed.115.162743","title":"Human Kinetic Modeling of the 5HT6 PET Radioligand <sup>11</sup>C-GSK215083 and Its Utility for Determining Occupancy at Both 5HT6 and 5HT2A Receptors by SB742457 as a Potential Therapeutic Mechanism of Action in Alzheimer Disease","year":2015,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"GlaxoSmithKline","keywords":"Ketanserin; Radioligand; Binding potential; 5-HT2A receptor; Antagonist; Pharmacology; In vivo; Receptor; Chemistry; Receptor antagonist; Striatum; 5-HT receptor; Serotonin; Internal medicine; Medicine; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006501975,0.0002068126,0.0006082116,0.0001904461,0.0001042814,0.000008650192,0.0001187474,0.000069654,0.00006313694],"category_scores_gemma":[0.0002271274,0.0001307407,0.0001251775,0.0001359854,0.0001934771,0.0001493361,0.000069893,0.0002236409,6.295967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007737647,"about_ca_system_score_gemma":0.0001726238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006256347,"about_ca_topic_score_gemma":0.000004976091,"domain_scores_codex":[0.9980323,0.0001527364,0.0006408956,0.000220463,0.0006802579,0.0002733024],"domain_scores_gemma":[0.998476,0.00006607353,0.000390939,0.0002032659,0.0002693601,0.0005943361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1447999,0.01549685,0.3472757,0.007793159,0.05847423,0.003818137,0.04958446,0.002725553,0.2535305,0.002661102,0.02080535,0.09303506],"study_design_scores_gemma":[0.1083074,0.02278371,0.1134822,0.008287823,0.02616262,0.003423858,0.01489221,0.6846934,0.005969793,0.009426789,0.001370487,0.001199793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799914,0.01826045,0.00003754107,0.0009912946,0.00008987891,0.0005650821,0.00001929681,0.000006318696,0.00003870036],"genre_scores_gemma":[0.9988495,0.0007155534,0.00008537676,0.0001487394,0.0001395455,0.000004781115,0.000007269094,0.00003601403,0.00001318277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6819678,"threshold_uncertainty_score":0.5331451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07918891832429431,"score_gpt":0.3498858716492091,"score_spread":0.2706969533249148,"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."}}