{"id":"W2315489466","doi":"10.1093/jat/bkv015","title":"HPLC-MS-MS Determination of ZCZ-011, A Novel Pharmacological Tool for Investigation of the Cannabinoid Receptor in Mouse Brain Using Clean Screen FASt  Column Extraction","year":2015,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute on Drug Abuse; Biotechnology and Biological Sciences Research Council","keywords":"Chromatography; Chemistry; Extraction (chemistry); Formic acid; Analyte; Ammonium acetate; Methanol; Cannabinoid; High-performance liquid chromatography; Cannabinoid receptor; Mass spectrometry; Selected reaction monitoring; Tandem mass spectrometry; Receptor","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":[0.00197587,0.0001285534,0.0005597165,0.0003504753,0.00004306462,0.00001310744,0.0001824769,0.0002520919,0.00008528014],"category_scores_gemma":[0.002508136,0.00009264673,0.0002498345,0.0004673816,0.0004544076,0.0001581351,0.0000610187,0.0004909741,5.741537e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005317504,"about_ca_system_score_gemma":0.0009985006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202987,"about_ca_topic_score_gemma":0.0001034788,"domain_scores_codex":[0.9977591,0.000237514,0.0009855455,0.0001711709,0.0005612498,0.000285423],"domain_scores_gemma":[0.9977586,0.0001390691,0.0006466203,0.0001358713,0.001072681,0.0002472133],"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":[0.002687791,0.0006725424,0.01804884,0.0001120263,0.00009075915,0.00001436674,0.0002970935,0.0004320122,0.9559278,0.0002791328,0.0171344,0.0043032],"study_design_scores_gemma":[0.02090471,0.012801,0.1753325,0.0003770842,0.0007881103,0.001041385,0.00170991,0.2076989,0.5688133,0.0008129553,0.00925363,0.0004665471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832122,0.00002490817,0.003763275,0.01207002,0.000197624,0.000596867,0.00002768192,0.000003805541,0.0001036294],"genre_scores_gemma":[0.9939781,0.00000896289,0.003437879,0.0005551392,0.0003244724,0.0000117733,0.00000542996,0.00001815376,0.001660044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871145,"threshold_uncertainty_score":0.3778024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08276951627228694,"score_gpt":0.3830463068158145,"score_spread":0.3002767905435276,"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."}}