{"id":"W2166051120","doi":"10.1177/1748895808096473","title":"Assessing UK drug policy from a crime control perspective","year":2008,"lang":"en","type":"article","venue":"Criminology & Criminal Justice","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prison; Criminal justice; Criminology; Government (linguistics); Economic Justice; Heroin; Drug control; Quarter (Canadian coin); Enforcement; Law enforcement; Crime control; Political science; Demography; Medicine; Drug; Geography; Psychiatry; Sociology; Law","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":[0.00009215925,0.0004249759,0.0007884711,0.0003663813,0.0004368204,0.00003427623,0.0002146353,0.0002230321,0.0004169608],"category_scores_gemma":[0.0007339403,0.0003696268,0.0002559805,0.000192137,0.0006176671,0.000288789,0.00004974764,0.0004874752,0.0004303746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005387385,"about_ca_system_score_gemma":0.0006122653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418222,"about_ca_topic_score_gemma":0.00004703624,"domain_scores_codex":[0.9977241,0.0001271015,0.0003980531,0.0006809036,0.0003319304,0.0007379239],"domain_scores_gemma":[0.9978327,0.0007461353,0.0001594074,0.0005776078,0.0004051363,0.0002790676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.01050529,0.004145148,0.2663156,0.000712536,0.005002434,0.03741904,0.4943662,0.00003507931,0.05448962,0.09475646,0.01795147,0.01430112],"study_design_scores_gemma":[0.01473174,0.0005502173,0.5969297,0.0002088981,0.02491959,0.002673522,0.348306,0.0001316821,0.008586105,0.001749741,0.0003942197,0.0008185475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782881,0.003168311,0.0006336766,0.00203784,0.0005325185,0.000347,0.000008383883,0.0002546785,0.01472954],"genre_scores_gemma":[0.9884297,0.0002870399,0.00262726,0.006001038,0.001302243,0.00003731994,0.00003642996,0.00005346576,0.00122552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3306142,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021464934445969,"score_gpt":0.3624151346232357,"score_spread":0.2602686411786387,"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."}}