{"id":"W7024278698","doi":"","title":"Reforming Canada's Cruel and Unusual Approach to Mandatory Minimum Drug Sentencing","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Drug; Criminal justice; Focus (optics); Drug trafficking","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001167428,0.000340947,0.00043817,0.0004237526,0.0007314655,0.0001045155,0.0006839148,0.00007664031,0.000007834476],"category_scores_gemma":[0.0001109791,0.000386904,0.00009778652,0.0004732985,0.00005390054,0.0004446058,0.001371061,0.0006979643,2.895234e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009059763,"about_ca_system_score_gemma":0.0003589341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316437,"about_ca_topic_score_gemma":0.1762178,"domain_scores_codex":[0.9972075,0.0005596838,0.0003143613,0.0006838173,0.0006531854,0.0005814001],"domain_scores_gemma":[0.9984476,0.0002280672,0.0001908932,0.000580603,0.0001040864,0.0004487613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000594069,0.0005245965,0.9723393,0.0009122272,0.0003749614,0.001695908,0.01091252,0.0001234945,0.003641646,0.003142772,0.000218418,0.005520031],"study_design_scores_gemma":[0.01590349,0.00134437,0.3846893,0.001174304,0.001642759,0.002281666,0.2489088,0.00008734493,0.01439848,0.001972887,0.317889,0.009707497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957808,0.00007459031,0.001248786,0.0002215701,0.0003405296,0.0004358685,0.00007766688,0.0001064275,0.001713721],"genre_scores_gemma":[0.9814132,0.000008701013,0.001504265,0.0006551363,0.00009061379,0.000007415945,0.00001821641,0.00006761977,0.01623481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5876501,"threshold_uncertainty_score":0.9998583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1215057802846225,"score_gpt":0.3304622869294494,"score_spread":0.2089565066448269,"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."}}