{"id":"W2053551049","doi":"10.1002/biof.1055","title":"Aging modifies the enzymatic activities involved in 2‐arachidonoylglycerol metabolism","year":2012,"lang":"en","type":"article","venue":"BioFactors","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"Fondo para la Investigación Científica y Tecnológica; Universidad Nacional del Sur; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas; Canadian Institute of Steel Construction; King's College London; Instituo Cajal; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Monoacylglycerol lipase; 2-Arachidonoylglycerol; Diacylglycerol lipase; Enzyme; Endocannabinoid system; Lipase; Chemistry; Biochemistry; Metabolism; Cannabinoid receptor; Receptor","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":[0.0001057852,0.0005117569,0.0002325824,0.0004036583,0.000117567,0.0002365193,0.0001057698,0.0002377026,0.0006185333],"category_scores_gemma":[0.0001219781,0.0001221882,0.0002597425,0.0002298242,0.0001989501,0.0003130268,0.0001687839,0.0002634874,0.0001746887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835081,"about_ca_system_score_gemma":0.0001889031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102333,"about_ca_topic_score_gemma":0.001044448,"domain_scores_codex":[0.9999378,0.000006490112,0.000008307466,0.00002040794,0.0000099062,0.00001709286],"domain_scores_gemma":[0.9999173,0.00000551233,0.00002795172,0.000008313938,0.00001771876,0.00002319667],"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":[0.0004317599,0.00002011604,0.002786826,0.00004917696,0.00001532357,0.0001014157,0.00003816604,0.00001853792,0.9943936,0.00005425244,0.00001987733,0.002071019],"study_design_scores_gemma":[0.00002143461,0.000796213,0.234005,0.00001501153,0.000134019,0.0007790768,0.0001858093,0.0003768645,0.7609821,0.0002495685,0.002434146,0.00002079504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991694,0.005922815,0.001232657,0.00004204161,0.0000313677,0.00001204319,0.0003722654,0.000037455,0.0006552449],"genre_scores_gemma":[0.9934574,0.0031049,0.001278118,0.0000500221,0.00001311842,0.00002354942,0.0004992421,0.000007777255,0.001565871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00102333,"threshold_uncertainty_score":0.002069235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174054845967338,"score_gpt":0.2997336329738766,"score_spread":0.2679930845142032,"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."}}