{"id":"W4406165271","doi":"10.1523/jneurosci.1620-24.2024","title":"Ghrelin Recruits the Endocannabinoid System to Modulate Food Reward","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary; Carleton University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Magyar Tudományos Akadémia","keywords":"Ventral tegmental area; Ghrelin; Endocannabinoid system; Orexigenic; Dopamine; Dopaminergic; Internal medicine; Endocrinology; Growth hormone secretagogue receptor; Cannabinoid; 2-Arachidonoylglycerol; Cannabinoid receptor; Biology; Chemistry; Neuroscience; Receptor; Neuropeptide Y receptor; Hormone; Medicine; Neuropeptide; Antagonist","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":[0.00006870775,0.0002434387,0.0001577897,0.0001642464,0.0001051889,0.0001383335,0.0001101294,0.0001699285,0.001018745],"category_scores_gemma":[0.00006621643,0.0001121223,0.0001721771,0.00006417728,0.000204774,0.0001182748,0.0002074798,0.0003236524,0.0001639214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004860343,"about_ca_system_score_gemma":0.0002029227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316921,"about_ca_topic_score_gemma":0.002750214,"domain_scores_codex":[0.9999475,0.000006433008,0.000002209173,0.0000104445,0.00001813663,0.00001517906],"domain_scores_gemma":[0.9999702,0.000002824339,0.000008711714,0.000002418542,0.000004161907,0.00001166394],"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":[0.0001001648,0.000009144427,0.0003168613,0.00001323069,0.00000372565,0.00004206509,0.000009842308,0.00003042186,0.9972893,0.0001403814,0.00003611249,0.002008738],"study_design_scores_gemma":[0.00008930924,0.0009139965,0.1494469,0.00001745101,0.00005162211,0.0006200224,0.00009923755,0.002264924,0.8391765,0.000675936,0.006622405,0.00002171345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938741,0.001419298,0.002393429,0.0001922351,0.00003779032,0.00001769258,0.0001230134,0.00006747024,0.001874847],"genre_scores_gemma":[0.9918932,0.001492995,0.00257311,0.0001255216,0.00002002515,0.00002678426,0.0001296718,0.00001869768,0.003720014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001316921,"threshold_uncertainty_score":0.003526449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383206467520846,"score_gpt":0.2875297626703258,"score_spread":0.2492091159182412,"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."}}