{"id":"W6980413848","doi":"","title":"Canadian Cannabis: Orthodoxies of Exclusion and Access","year":2023,"lang":"en","type":"book","venue":"MacSphere (McMaster University)","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insider; Ethnography; Law enforcement; Software deployment; Politics; Production (economics); Enforcement; Valuation (finance); Securitization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002930547,0.0004385574,0.0004869553,0.00303428,0.05563483,0.01129006,0.002088001,0.002314806,0.01198558],"category_scores_gemma":[0.007221843,0.0004516894,0.000330629,0.004829724,0.03912422,0.003540648,0.007327814,0.004821918,0.0004615462],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.158281,"about_ca_system_score_gemma":0.1430242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99365,"about_ca_topic_score_gemma":0.9965413,"domain_scores_codex":[0.9933091,0.0009776009,0.0001305705,0.0008936797,0.002568671,0.002120261],"domain_scores_gemma":[0.995438,0.001136716,0.0003355741,0.0002794984,0.001787553,0.001022599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005517297,0.00002349769,0.007980044,0.0001227464,0.00001291504,0.0007556672,0.2728519,0.0001540075,0.0005550284,0.663262,0.02368119,0.03054593],"study_design_scores_gemma":[0.00001729373,0.00002255581,0.02037938,0.0003762974,0.00003073279,0.0004272724,0.2915503,0.0003187187,0.0004556944,0.02991226,0.6564069,0.0001026845],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1743607,0.004990499,0.002029869,0.05111148,0.0003589861,0.00009577615,0.00049995,0.00005033302,0.7665024],"genre_scores_gemma":[0.9324682,0.002695232,0.0006567105,0.003580168,0.00006488541,0.0000356232,0.00009897938,0.00005393305,0.06034631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.158281,"threshold_uncertainty_score":0.9762747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063943293006186,"score_gpt":0.2531574117996937,"score_spread":0.2225179788696318,"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."}}