{"id":"W2945405828","doi":"10.1089/can.2018.0067","title":"Extractions of Medical Cannabis Cultivars and the Role of Decarboxylation in Optimal Receptor Responses","year":2019,"lang":"en","type":"article","venue":"Cannabis and Cannabinoid Research","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Decarboxylation; Cannabis; Cultivar; Chemistry; Receptor; Pharmacology; Neuroscience; Medicine; Horticulture; Biology; Biochemistry; Psychiatry; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007487419,0.0002760363,0.000826861,0.0009551669,0.0001897791,0.00006118307,0.0003947474,0.0003991864,0.0006748502],"category_scores_gemma":[0.002036778,0.0001943332,0.0001752152,0.001404025,0.002362128,0.0001780829,0.0004084276,0.001350019,0.000008665937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196476,"about_ca_system_score_gemma":0.001971526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009426872,"about_ca_topic_score_gemma":0.0005219479,"domain_scores_codex":[0.9940398,0.00104605,0.0008660033,0.0006588546,0.00256245,0.0008267798],"domain_scores_gemma":[0.997317,0.000139914,0.0001759326,0.0006965464,0.001124744,0.0005458914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02028071,0.002039892,0.2938538,0.003445657,0.0005370621,0.0001340732,0.01825106,0.0001161544,0.2335161,0.0620256,0.1521483,0.2136515],"study_design_scores_gemma":[0.01447354,0.002038013,0.5284777,0.0009086417,0.00009022775,0.0002771779,0.02205072,0.00651829,0.03456179,0.001115011,0.3888845,0.0006044806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325216,0.007291464,0.000005731517,0.05602778,0.0001008931,0.001630145,0.00005104741,0.00001662198,0.002354731],"genre_scores_gemma":[0.9771966,0.002119503,0.0000624413,0.00008574062,0.0001059043,0.0003299856,0.0000173923,0.00004829087,0.02003411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2367361,"threshold_uncertainty_score":0.9971694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922972462660794,"score_gpt":0.3498038366824429,"score_spread":0.3305741120558349,"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."}}