{"id":"W4390604807","doi":"10.1021/acs.jafc.3c06616","title":"Chemical Composition of Commercial Cannabis","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Genome Canada","keywords":"Cannabis; Metabolomics; Computer science; Chemistry; Computational biology; Data science; Chromatography; Biology; 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":[0.0001852425,0.0005002779,0.0004502021,0.007153239,0.001556358,0.0008380833,0.0003840791,0.0003878995,0.01641313],"category_scores_gemma":[0.0009288737,0.0002252228,0.0004570157,0.004208666,0.0005100233,0.0006367572,0.0007671809,0.0004971512,0.00238862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008559626,"about_ca_system_score_gemma":0.001046802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893604,"about_ca_topic_score_gemma":0.01924004,"domain_scores_codex":[0.9995472,0.00002712497,0.00003109342,0.0001111612,0.0002202016,0.00006320643],"domain_scores_gemma":[0.9995596,0.00008825935,0.00006653321,0.00003147741,0.0001896456,0.00006452815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002446979,0.0002452084,0.04088856,0.004514145,0.0005452781,0.002599199,0.001410722,0.001010145,0.7089656,0.005951922,0.008608207,0.222814],"study_design_scores_gemma":[0.0001098818,0.0006810977,0.3052796,0.001062131,0.00102836,0.005492284,0.002292763,0.004110237,0.3630442,0.006748812,0.3095984,0.0005522561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8243093,0.05012186,0.01000615,0.0009235932,0.0006335149,0.0005762165,0.0479847,0.0008020095,0.06464253],"genre_scores_gemma":[0.9441606,0.01801854,0.009355946,0.0005258661,0.0002054541,0.0001688096,0.01309064,0.0004361039,0.01403819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893604,"threshold_uncertainty_score":0.05490738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098419433529128,"score_gpt":0.2560988648269746,"score_spread":0.2462569214740618,"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."}}