{"id":"W3101613917","doi":"10.3390/ph13110386","title":"Bioanalytical Assay Development and Validation for the Pharmacokinetic Study of GMC1, a Novel FKBP52 Co-chaperone Inhibitor for Castration Resistant Prostate Cancer","year":2020,"lang":"en","type":"article","venue":"Pharmaceuticals","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"DOD Prostate Cancer Research Program; Cancer Prevention and Research Institute of Texas; National Institute on Minority Health and Health Disparities; Lizanell and Colbert Coldwell Foundation","keywords":"Chromatography; Pharmacokinetics; Selected reaction monitoring; Chemistry; Bioanalysis; Formic acid; Albendazole; Mass spectrometry; Prostate cancer; Tandem mass spectrometry; Pharmacology; Medicine; Cancer","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":[0.0005415141,0.0001582057,0.0002854732,0.00005196285,0.000148002,0.00003089057,0.00006370735,0.00003722332,0.00004351613],"category_scores_gemma":[0.0001415331,0.0001005497,0.00004918901,0.0001698671,0.0001072417,0.00006025776,0.00003331679,0.0001223287,0.000001654116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008647706,"about_ca_system_score_gemma":0.0002354411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008795602,"about_ca_topic_score_gemma":0.000004828806,"domain_scores_codex":[0.9985934,0.00004158769,0.0004110421,0.0003160418,0.0003570738,0.0002808271],"domain_scores_gemma":[0.9989668,0.0003870514,0.00008627105,0.00009103385,0.0002461939,0.0002226687],"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":[0.01232265,0.001377116,0.003575033,0.00119104,0.001077204,0.00000816822,0.006015047,0.00004435921,0.9329992,0.00009760978,0.001031424,0.04026116],"study_design_scores_gemma":[0.02166765,0.001697269,0.003038753,0.00008743588,0.001276434,0.000003652314,0.001505124,0.01430166,0.9190857,0.00001325329,0.03712867,0.0001944375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654576,0.002149869,0.002359957,0.02059226,0.00009931149,0.009002635,0.0002218609,0.00003904435,0.00007747981],"genre_scores_gemma":[0.9966839,0.0002963167,0.0009192753,0.000360664,0.0001877326,0.001301297,0.00005204053,0.00002490915,0.0001738984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04006673,"threshold_uncertainty_score":0.4100299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2018792346868837,"score_gpt":0.4609186102426014,"score_spread":0.2590393755557178,"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."}}