{"id":"W2947982056","doi":"10.7202/1059464ar","title":"Marijuana Legalization in Canada: Insights for Workplaces from Case Law Analysis","year":2019,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Legalization; Possession (linguistics); Tribunal; Arbitration; Duty; Accommodation; Psychology; Business; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008636307,0.0004129442,0.0006270482,0.01754077,0.01714676,0.01187105,0.003292668,0.001865036,0.005415415],"category_scores_gemma":[0.03472572,0.0005311121,0.0008047754,0.02289321,0.004776516,0.003460252,0.00443176,0.002575835,0.0003635476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1371622,"about_ca_system_score_gemma":0.170247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871308,"about_ca_topic_score_gemma":0.9941794,"domain_scores_codex":[0.9912432,0.001268403,0.0004096174,0.000462986,0.003453092,0.003162664],"domain_scores_gemma":[0.9584543,0.01730526,0.003644097,0.0009435888,0.01605564,0.003597128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009285884,0.0004598878,0.4083751,0.001369075,0.0001166163,0.00795816,0.264326,0.001981375,0.0006631837,0.1255448,0.05224166,0.1368713],"study_design_scores_gemma":[0.00001371637,0.00003783679,0.3677732,0.003127357,0.0001054843,0.0007920962,0.529826,0.003959944,0.0002916475,0.01385396,0.08011581,0.000102968],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8078655,0.01958289,0.004016484,0.04634281,0.0001537437,0.0007211871,0.003755612,0.00007294182,0.1174888],"genre_scores_gemma":[0.9764557,0.01025589,0.003606135,0.001956532,0.00004492772,0.0001320814,0.001247451,0.00003617005,0.006264997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371622,"threshold_uncertainty_score":0.9951859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050636225491287,"score_gpt":0.243610652723023,"score_spread":0.2231042904681101,"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."}}