{"id":"W4200507199","doi":"10.1080/10826076.2021.1996390","title":"The analytical landscape of cannabis compliance testing","year":2021,"lang":"en","type":"article","venue":"Journal of Liquid Chromatography & Related Technologies","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Spinal Cord Injury BC","funders":"","keywords":"Cannabis; Compliance (psychology); Recreation; Enforcement; Effects of cannabis; Chemistry; Business; Risk analysis (engineering); Biochemical engineering; Environmental planning; Political science; Law; Psychology; Engineering; Psychiatry; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005852485,0.0001712539,0.0005678819,0.0004673143,0.00017352,0.00004353594,0.0003900029,0.0002649385,0.0000307102],"category_scores_gemma":[0.0018764,0.0001059095,0.0004760983,0.002617003,0.0007537203,0.00008019511,0.0001558095,0.000992166,0.000002278863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310147,"about_ca_system_score_gemma":0.0005201022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008452827,"about_ca_topic_score_gemma":0.000003609135,"domain_scores_codex":[0.9977871,0.00005777874,0.0009160262,0.0001863075,0.0006600284,0.0003928045],"domain_scores_gemma":[0.9971611,0.00009330605,0.0005321198,0.0005046893,0.00160838,0.0001003724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003132296,0.002195225,0.2053892,0.001735256,0.006570844,0.008487349,0.0006637432,0.0002242426,0.3150873,0.01621434,0.3263008,0.1139994],"study_design_scores_gemma":[0.009529258,0.01586038,0.1708257,0.006789805,0.00174028,0.0338373,0.02656004,0.003211068,0.5366529,0.007335115,0.1864753,0.001182854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437072,0.02279692,0.00002081858,0.03061128,0.0001518762,0.0001355576,0.000005075961,0.0001307878,0.002440493],"genre_scores_gemma":[0.9961024,0.002172171,0.001077827,0.00003502336,0.00003408387,0.000006136594,0.000001582819,0.00002195245,0.0005488321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215656,"threshold_uncertainty_score":0.4318865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647524000633671,"score_gpt":0.2998250691114312,"score_spread":0.2733498291050945,"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."}}