{"id":"W6958168089","doi":"10.6068/dp14ba7d11b7682","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases with arrears at March 31, by type of beneficiary and amount owing for each arrears decile | Variable: Eighth decile of arrears owing, Total amount of arrears owing, Children as the only beneficiaries | Units: # $CAD, 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":"Arrears; Decile; Economic Justice; Census; Law enforcement; Economic statistics; Population; Official statistics; Descriptive statistics; Criminal justice","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":[0.002519465,0.002698679,0.003190678,0.008961894,0.003508972,0.004811661,0.005816184,0.001558113,0.08876091],"category_scores_gemma":[0.02042308,0.002419803,0.002517351,0.03997023,0.0006624657,0.002625392,0.002541741,0.003399532,0.04445476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06357343,"about_ca_system_score_gemma":0.1628813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962063,"about_ca_topic_score_gemma":0.9947222,"domain_scores_codex":[0.9950742,0.0003306245,0.0005982658,0.0005789375,0.002272352,0.001145726],"domain_scores_gemma":[0.9597378,0.001296311,0.001323411,0.001038551,0.0343647,0.002239407],"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":[0.00003135825,0.000009570259,0.001471388,0.0002660999,0.00002539597,0.000006047808,0.00002548749,0.0001006527,0.000008070602,0.0003317632,0.9961026,0.001621591],"study_design_scores_gemma":[0.0003139784,0.00002791284,0.05099238,0.001445806,0.0001290421,0.00004147974,0.0008482287,0.0007182187,0.0002375363,0.0007387052,0.9443785,0.0001281483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007236643,0.00005404238,0.0000239137,0.0001429923,0.00003272108,0.00002347428,0.9986894,0.00006323855,0.0008978941],"genre_scores_gemma":[0.001204525,0.0003938155,0.0004714326,0.0002302616,0.00002681719,0.0001944189,0.992463,0.0001250904,0.004890692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08876091,"threshold_uncertainty_score":0.4612597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430638009728205,"score_gpt":0.2504976850068194,"score_spread":0.2261913049095373,"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."}}