{"id":"W7118069277","doi":"10.15837/aijjs.v19i2.7360","title":"LEGALIZING MEDICAL CANNABIS AND AVOIDING ILLICIT MARKETS IN NIGERIA: A TRIPARTITE CASE STUDY ANALYSIS TOWARDS ACHIEVING AN EFFECTIVE MARKET MODEL","year":2025,"lang":"","type":"article","venue":"Agora International Journal of Juridical Sciences","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Cannabis; Enforcement; Law enforcement; Market failure; Product (mathematics); Economic model; Emerging markets","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":[0.005681943,0.0003123551,0.0003769461,0.001700131,0.01119572,0.005719512,0.001362199,0.003149934,0.003560935],"category_scores_gemma":[0.004841905,0.0003474473,0.0004393512,0.001927025,0.006275793,0.004807539,0.004022726,0.002421414,0.0001861411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008528922,"about_ca_system_score_gemma":0.006658352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02637213,"about_ca_topic_score_gemma":0.05756653,"domain_scores_codex":[0.9956551,0.003157082,0.0001100763,0.0001605088,0.0003516735,0.0005656488],"domain_scores_gemma":[0.9958521,0.003049374,0.0004131882,0.0001420687,0.0002859896,0.0002572232],"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":[0.000148228,0.001123075,0.03180237,0.0004991879,0.0000306848,0.01787571,0.2739527,0.002747569,0.001465044,0.6396379,0.002514014,0.02820338],"study_design_scores_gemma":[0.00004063339,0.0002310773,0.008832887,0.0007344363,0.00004064471,0.002243056,0.9255878,0.006086441,0.0009705539,0.02024762,0.03494304,0.00004184151],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374257,0.0006857213,0.005004977,0.003622861,0.00002902948,0.000520598,0.00005338519,0.000005809845,0.0526519],"genre_scores_gemma":[0.9898465,0.0009604534,0.004881648,0.0002916114,0.000005293656,0.0002081749,0.00002504424,0.000005521725,0.003775614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02637213,"threshold_uncertainty_score":0.0618819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463785768122498,"score_gpt":0.3795923741361299,"score_spread":0.3549545164549049,"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."}}