{"id":"W2084424414","doi":"10.1016/j.vascn.2014.06.006","title":"A vapourized Δ9-tetrahydrocannabinol (Δ9-THC) delivery system part I: Development and validation of a pulmonary cannabinoid route of exposure for experimental pharmacology studies in rodents","year":2014,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Wilfrid Laurier University; University of Toronto; Centre for Addiction and Mental Health","funders":"Wilfrid Laurier University","keywords":"Cannabinoid; Pharmacology; Δ9-tetrahydrocannabinol; Tetrahydrocannabinol; Route of administration; Medicine; Conditioned place preference; Cannabinoid receptor; Metabolite; Anesthesia; Morphine; Antagonist; Internal 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":[0.0005597494,0.0005426544,0.0003144574,0.0005226979,0.0005195883,0.0005196998,0.0007267188,0.0007165467,0.001542845],"category_scores_gemma":[0.0003667944,0.000373327,0.0005051059,0.000229734,0.0005728984,0.0004616384,0.0003220752,0.0008864161,0.0009268479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849343,"about_ca_system_score_gemma":0.001276731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00311927,"about_ca_topic_score_gemma":0.004063114,"domain_scores_codex":[0.9996203,0.00003069979,0.0000285194,0.0001070192,0.0001603218,0.00005323564],"domain_scores_gemma":[0.9996853,0.00004220707,0.00007863683,0.00005463485,0.00008936344,0.00004991087],"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":[0.00007263194,0.00003141712,0.00004726043,0.000034676,0.000004532799,0.0000230343,0.00001458213,0.00005975845,0.9969717,0.0001323622,0.00004745314,0.002560517],"study_design_scores_gemma":[0.00001124498,0.0002751527,0.0004285262,0.00000477404,0.00001457698,0.0000724502,0.000007354744,0.0002689234,0.9968985,0.00002112194,0.001990685,0.000006522017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6962603,0.003469642,0.2859437,0.000468584,0.0004055493,0.003364935,0.002274994,0.002060188,0.005752082],"genre_scores_gemma":[0.736661,0.005742468,0.2214032,0.000360181,0.0001089084,0.002454804,0.00217831,0.0003058384,0.03078537],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00311927,"threshold_uncertainty_score":0.006202221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090622546346404,"score_gpt":0.4481719883918142,"score_spread":0.3391097337571738,"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."}}