{"id":"W7067549991","doi":"","title":"Marijuana Arrests in Toronto Canada: A Look into the Canadian Criminal Justice System","year":2021,"lang":"en","type":"article","venue":"DigitalCommons - Kennesaw State University (Kennesaw State University)","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Possession (linguistics); Legalization; Criminal justice; Summons; Punitive damages; Constitution; Economic Justice; Notice","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":[0.001170136,0.0006314248,0.0007510984,0.008459458,0.01178617,0.004740048,0.003093676,0.00106852,0.006863222],"category_scores_gemma":[0.006248983,0.0007294821,0.0009058815,0.02234942,0.001868291,0.001864426,0.003643679,0.002258928,0.0006698482],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1716263,"about_ca_system_score_gemma":0.1814543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996306,"about_ca_topic_score_gemma":0.99985,"domain_scores_codex":[0.9964021,0.0001728531,0.0001778265,0.0003317519,0.001318357,0.001597144],"domain_scores_gemma":[0.9891012,0.0004015969,0.00142401,0.000192099,0.006187603,0.002693505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001451336,0.0001105214,0.8393795,0.0005920255,0.0001850189,0.0007914857,0.02655165,0.000547018,0.0003468606,0.005819825,0.08838499,0.03714598],"study_design_scores_gemma":[0.000009547919,0.00001913621,0.9544922,0.0003450645,0.00004834787,0.0001015286,0.02559887,0.0004188687,0.00005220786,0.0001553904,0.01869491,0.00006397202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302532,0.01823863,0.0003655574,0.03954347,0.0004355863,0.0004098299,0.05748636,0.00009401901,0.05317333],"genre_scores_gemma":[0.96382,0.01104906,0.0004101705,0.002453327,0.0001195124,0.00009526972,0.01371639,0.00005529439,0.008281004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716263,"threshold_uncertainty_score":0.9607961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212375042921174,"score_gpt":0.218212745834918,"score_spread":0.2060889954057063,"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."}}