{"id":"W2298316631","doi":"","title":"Criminalizing Poverty Not the Poor: Using Peacemaking Criminology to Understand Poverty in a Canadian Community","year":2011,"lang":"en","type":"article","venue":"","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Poverty; Peacemaking; Criminology; Sociology; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003050711,0.0005081507,0.000502056,0.004958333,0.0507822,0.005689694,0.00314475,0.002147278,0.002610207],"category_scores_gemma":[0.01086266,0.000442555,0.0005209369,0.00670689,0.01182889,0.003413063,0.004500005,0.004959425,0.0001046403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1218884,"about_ca_system_score_gemma":0.2181414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997667,"about_ca_topic_score_gemma":0.9993513,"domain_scores_codex":[0.9966929,0.0008303144,0.00004626916,0.0001638633,0.0005465946,0.001720173],"domain_scores_gemma":[0.9937418,0.001374322,0.0007169248,0.0001677362,0.002534328,0.001464875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008919145,0.0004794289,0.3579756,0.0001370271,0.00007595598,0.001360719,0.474147,0.001855526,0.000269117,0.07465074,0.01775149,0.07120819],"study_design_scores_gemma":[0.00001216525,0.00005325254,0.1976341,0.0002893429,0.00009378164,0.0002560572,0.7668659,0.002660407,0.0002287948,0.009598218,0.02223178,0.00007609023],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466553,0.001056238,0.0006795647,0.01884949,0.00003923793,0.0001098166,0.0001748452,0.000007083675,0.03242841],"genre_scores_gemma":[0.9947943,0.0008972439,0.000533875,0.000750137,0.000007805275,0.00003973278,0.00003894351,0.000007469948,0.002930457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218884,"threshold_uncertainty_score":0.8843665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3274446850729081,"score_gpt":0.3155804272251451,"score_spread":0.01186425784776296,"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."}}