{"id":"W6939190493","doi":"10.6068/dp14ba7d38ff826","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled, by activity status, type of beneficiary, interjurisdictional support order status and regularity of compliance | Variable: Total active cases, Interjurisdictional support order-in, Total number of cases, Full compliance with payment 1 to 2 months of the fiscal year, Children as the only beneficiaries | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-025.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Law enforcement; Socioeconomic status; Population; Economic Justice; Official statistics; Economic statistics; Population statistics; Enforcement","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":[0.002288465,0.002604852,0.003197651,0.008741404,0.003301132,0.004495012,0.006058532,0.001514228,0.08082595],"category_scores_gemma":[0.01832599,0.002375792,0.002510602,0.03958451,0.0006090155,0.002464247,0.002387456,0.003515433,0.03767801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05911467,"about_ca_system_score_gemma":0.1399721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956285,"about_ca_topic_score_gemma":0.9939604,"domain_scores_codex":[0.9954274,0.0002918478,0.0005958733,0.0005549988,0.002059009,0.001070817],"domain_scores_gemma":[0.9609398,0.001195622,0.001439951,0.0009222922,0.03332775,0.002174595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003689782,0.00001276428,0.002290251,0.0003191884,0.00003161818,0.000007640269,0.00003065329,0.0001073345,0.000008744855,0.00031768,0.9951787,0.001658611],"study_design_scores_gemma":[0.0004037636,0.00003742736,0.08529014,0.001824487,0.000169811,0.00005392404,0.001150744,0.0008616116,0.0002827611,0.0007837768,0.9089904,0.000151127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000960396,0.00005260257,0.00002071031,0.0001267082,0.00003078043,0.00002281784,0.9988426,0.00004924234,0.0007584674],"genre_scores_gemma":[0.001323766,0.0003462716,0.0003454917,0.0002030632,0.00002521646,0.0001893633,0.993269,0.00009268876,0.004205162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08082595,"threshold_uncertainty_score":0.4289089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669075977544264,"score_gpt":0.2678791825781954,"score_spread":0.2411884228027528,"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."}}