{"id":"W3097502690","doi":"10.1172/jci.insight.135418","title":"Adverse effects of Δ9-tetrahydrocannabinol on neuronal bioenergetics during postnatal development","year":2020,"lang":"en","type":"article","venue":"JCI Insight","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Novo Nordisk Fonden; GW Pharmaceuticals; European Research Council; Wellcome Trust; Wellcome","keywords":"Bioenergetics; Hippocampal formation; Adenylyl cyclase; Cannabinoid; Mitochondrion; Tetrahydrocannabinol; Cannabinoid receptor; Premovement neuronal activity; Cannabis; Neuroprotection; Glycolysis; Neuroscience; Biology; Receptor; Cell biology; Chemistry; Pharmacology; Endocrinology; Medicine; Metabolism; Signal transduction; Biochemistry; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302142,0.0002978889,0.00029058,0.0004147053,0.0002085945,0.0003110826,0.0002439624,0.0002791705,0.001265866],"category_scores_gemma":[0.0002425862,0.0001347346,0.0001838503,0.0001659945,0.0003815448,0.0002341586,0.0003054377,0.0006156602,0.0002184165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004589702,"about_ca_system_score_gemma":0.000520058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959567,"about_ca_topic_score_gemma":0.007098965,"domain_scores_codex":[0.9998178,0.00001530841,0.00001292648,0.0000445818,0.00006271233,0.00004673305],"domain_scores_gemma":[0.9997844,0.00003731103,0.00006414198,0.00002342906,0.00003581107,0.0000549857],"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":[0.0005304185,0.00003547651,0.002977962,0.00007055211,0.00001506018,0.0003730126,0.0001276092,0.00004442051,0.9865203,0.0001794943,0.00007264866,0.009053081],"study_design_scores_gemma":[0.000009184847,0.0005486613,0.06300288,0.00003697905,0.00004613635,0.0004987447,0.0003049286,0.0001917414,0.9327332,0.0002143054,0.002400289,0.00001281499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992447,0.003590166,0.001112483,0.0001591686,0.00003817388,0.00001642991,0.0006560311,0.00007201829,0.001908485],"genre_scores_gemma":[0.9910277,0.003334008,0.001110083,0.0001246395,0.000008997453,0.00003907924,0.0003866716,0.00002605769,0.003942934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002959567,"threshold_uncertainty_score":0.005884707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329751184527496,"score_gpt":0.2455473215045222,"score_spread":0.2322498096592472,"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."}}