{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000646407,0.0001310075,0.0002723096,0.00006749562,0.00003550661,0.00001432005,0.0000643396,0.00009000523,0.0001094137],"category_scores_gemma":[0.0000992711,0.0001170634,0.00007669434,0.0002256628,0.0002237663,0.0000461805,0.00006369074,0.0002029977,0.000006843302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004972814,"about_ca_system_score_gemma":0.000133129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007563,"about_ca_topic_score_gemma":0.000003993108,"domain_scores_codex":[0.9989724,0.00003337822,0.0002014653,0.0002715375,0.000300448,0.000220733],"domain_scores_gemma":[0.999289,0.000004484674,0.00005965064,0.0001291201,0.0001703842,0.0003473647],"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":[0.0004206674,0.0001016,0.0009522946,0.0002039099,0.00003802466,0.00004124651,0.0007096699,0.000002329217,0.9301266,0.0002427688,0.06091,0.006250855],"study_design_scores_gemma":[0.001085942,0.0004538384,0.01082106,0.00005784749,0.00006186531,0.00005252028,0.0003693179,0.0002921576,0.9587902,0.00003131099,0.02781569,0.0001682202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469136,0.0005602768,0.0001504728,0.05030129,0.00003784571,0.0003074401,0.00002750535,0.00003602002,0.001665525],"genre_scores_gemma":[0.9978725,0.00004759361,0.000406141,0.0009629751,0.00009309003,0.00002330005,0.00003902816,0.00002262597,0.0005326989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05095893,"threshold_uncertainty_score":0.4773706,"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."}}