{"id":"W3045660097","doi":"10.3390/molecules25153466","title":"Bioactive Chemical Composition of Cannabis Extracts and Cannabinoid Receptors","year":2020,"lang":"en","type":"article","venue":"Molecules","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Toronto General Hospital; University of Toronto; University Health Network","funders":"Canada Foundation for Innovation","keywords":"Cannabinoid receptor; Cannabis; Cannabinoid; Cannabinoid receptor type 2; Receptor; Chemistry; Pharmacology; Cannabidiol; Drug; Endocannabinoid system; Medicine; Biochemistry; Psychiatry","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":[0.0002426843,0.0006306565,0.0004894396,0.001441165,0.0003327,0.0005373852,0.0002771166,0.0003563961,0.001189885],"category_scores_gemma":[0.0009337857,0.0001627065,0.0008806406,0.0009057874,0.0002386002,0.0003117649,0.0003168737,0.0004227182,0.0007023832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689783,"about_ca_system_score_gemma":0.0004720505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006065718,"about_ca_topic_score_gemma":0.005545568,"domain_scores_codex":[0.9998301,0.00001823223,0.00001205127,0.00005433245,0.00006445735,0.00002071126],"domain_scores_gemma":[0.9997315,0.0001048993,0.00007561345,0.00003365594,0.00004210971,0.00001226432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003097342,0.0005194079,0.3422762,0.002017283,0.001326175,0.001127539,0.0002089565,0.08585005,0.3346564,0.001956327,0.006455075,0.2205094],"study_design_scores_gemma":[0.0001207072,0.0005911202,0.4095012,0.0001664767,0.001272793,0.001694672,0.0002736776,0.365073,0.1831241,0.00495636,0.03300918,0.0002168665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440022,0.005669068,0.02338742,0.0002362024,0.00006550732,0.0001163045,0.02223878,0.0007319037,0.003552716],"genre_scores_gemma":[0.9702374,0.002456878,0.01293793,0.00005993281,0.00004073521,0.00006956891,0.01317985,0.00004801236,0.0009695764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006065718,"threshold_uncertainty_score":0.01206082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520569717398616,"score_gpt":0.2718412087804884,"score_spread":0.2566355116065022,"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."}}