{"id":"W4416940044","doi":"10.21203/rs.3.rs-8186487/v1","title":"Quantification of THC, heavy metals, pesticides, mycotoxins, and microbial contaminants in cannabis inflorescence reveals higher levels in illicit samples than in the licensed Canadian market","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Cannabis; Contamination; Illicit drug; Mycotoxin; Heavy metals; Mercury (programming language)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001134334,0.0004488345,0.0003348731,0.001441733,0.001800808,0.001177742,0.0002845331,0.000802209,0.004692999],"category_scores_gemma":[0.0003078197,0.0002375499,0.0003586111,0.0007325473,0.0006642048,0.0002893765,0.0003825274,0.0008620589,0.001234205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009905263,"about_ca_system_score_gemma":0.001228736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08358879,"about_ca_topic_score_gemma":0.1457856,"domain_scores_codex":[0.9997241,0.000009187355,0.000005631231,0.00007896974,0.0001074635,0.00007463404],"domain_scores_gemma":[0.9997093,0.00005603551,0.00003113078,0.00002548549,0.0001215916,0.00005644797],"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":[0.0001477067,0.0000214267,0.007139982,0.00003398177,0.00001365532,0.00007600569,0.0001823459,0.00001650978,0.9892104,0.0001003317,0.0001304309,0.002927152],"study_design_scores_gemma":[0.00001256733,0.0002307561,0.4051884,0.00003936365,0.00006322542,0.0006564944,0.001499881,0.0006008183,0.5851146,0.0003104985,0.006249729,0.00003370576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801735,0.001262592,0.004718384,0.0002397725,0.00004838688,0.00006476189,0.004087584,0.0002811876,0.009123865],"genre_scores_gemma":[0.9739391,0.0007223429,0.005049857,0.0002621902,0.00001715189,0.00005502204,0.003019858,0.0001196396,0.0168149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9164112,"threshold_uncertainty_score":0.1662045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07445456932064413,"score_gpt":0.3766597875197864,"score_spread":0.3022052181991423,"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."}}