{"id":"W6939056252","doi":"10.6068/dp14ba8f59c5767","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled for the entire fiscal year, by activity status, type of beneficiary, change in arrears, length of enrolment | Variable: Total active cases, Unknown arrears at beginning of year and no current arrears, Total cases, length of enrolment, 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":"Arrears; Census; Official statistics; Economic Justice; Law enforcement; Economic statistics; Population; Crime statistics; Socioeconomic status","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":[0.002248941,0.002441766,0.002969834,0.009225422,0.003373697,0.004575377,0.005419698,0.001393387,0.08445337],"category_scores_gemma":[0.01867625,0.002094834,0.002280434,0.04012839,0.0006066114,0.002349168,0.002361647,0.003008977,0.03912048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06375682,"about_ca_system_score_gemma":0.1580906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963193,"about_ca_topic_score_gemma":0.9948698,"domain_scores_codex":[0.9954368,0.0002855175,0.0005672785,0.0005506929,0.002078343,0.001081462],"domain_scores_gemma":[0.9610435,0.001253121,0.001352049,0.0009347869,0.03319803,0.002218427],"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":[0.00003250174,0.00001007564,0.00171823,0.0002688461,0.00002498635,0.000006963701,0.00003090732,0.0001000356,0.000008328007,0.0003689693,0.9956515,0.001778569],"study_design_scores_gemma":[0.000277632,0.00002709981,0.0542288,0.001406048,0.0001193853,0.00004238636,0.0009694177,0.000718881,0.0002387062,0.0006964628,0.9411561,0.000119091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009526608,0.0000570321,0.00002401383,0.0001434387,0.00003173552,0.00002364274,0.9985135,0.00006186296,0.001049451],"genre_scores_gemma":[0.001417583,0.0003907449,0.0004273975,0.000215741,0.00002558766,0.0001801606,0.9919496,0.0001153668,0.005277955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08445337,"threshold_uncertainty_score":0.4625903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693896321521525,"score_gpt":0.2731534291636153,"score_spread":0.2362144659484001,"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."}}