{"id":"W2067001382","doi":"10.1016/j.bmc.2013.04.077","title":"Development and characterization of a promising fluorine-18 labelled radiopharmaceutical for in vivo imaging of fatty acid amide hydrolase","year":2013,"lang":"en","type":"article","venue":"Bioorganic & Medicinal Chemistry","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institutes of Health; Connaught Fund; Vetenskapsrådet; National Institute of Mental Health; University of Toronto","keywords":"Fatty acid amide hydrolase; Radiosynthesis; Anandamide; Chemistry; Ex vivo; In vivo; Endocannabinoid system; Cannabinoid; Biodistribution; Amidase; Positron emission tomography; Pharmacology; Biochemistry; Enzyme; In vitro; Cannabinoid receptor; Antagonist; Nuclear medicine; Receptor; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004036685,0.0004156396,0.0002725524,0.0002737561,0.0001646038,0.0003244999,0.0005102071,0.0008333959,0.0007220123],"category_scores_gemma":[0.0003271156,0.0001954344,0.0002876351,0.0001703636,0.0002074166,0.0002816186,0.0001395557,0.0004023345,0.0004890439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474506,"about_ca_system_score_gemma":0.000315667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007959791,"about_ca_topic_score_gemma":0.0008879898,"domain_scores_codex":[0.9998763,0.00002368082,0.000006991595,0.00003251637,0.00003275687,0.00002774459],"domain_scores_gemma":[0.9998657,0.00002486304,0.00003526923,0.00001161803,0.00003050488,0.00003209304],"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":[0.00003410923,0.00001835927,0.00003879777,0.00004013305,0.000003440314,0.00005720344,0.000007815418,0.00008456017,0.9973606,0.00008803808,0.00003046911,0.002236466],"study_design_scores_gemma":[0.00002630263,0.001006446,0.001063626,0.00001319991,0.00002883037,0.0007444135,0.00001326735,0.00108717,0.9869871,0.00003560863,0.008982489,0.00001140896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8313218,0.01284774,0.1489962,0.0003685504,0.0001054763,0.0007887232,0.0007326743,0.0003422238,0.004496678],"genre_scores_gemma":[0.8635418,0.00575064,0.1203459,0.0003236576,0.00005768579,0.0004958985,0.002495277,0.00009821072,0.00689092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008333959,"threshold_uncertainty_score":0.002520919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030746433623374,"score_gpt":0.2918004384248299,"score_spread":0.2714929740885961,"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."}}