{"id":"W6920438281","doi":"10.6068/dp14ba8acfc0c25","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: Fifth 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; Official statistics; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002349776,0.001414817,0.002676462,0.0002701178,0.0003267151,0.0002239753,0.001813374,0.0005553124,0.0004295312],"category_scores_gemma":[0.0005945758,0.001161349,0.000001674533,0.0006245379,0.00125308,0.000479309,0.00113948,0.0008051475,0.000004204246],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734554,"about_ca_system_score_gemma":0.01337908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999514,"about_ca_topic_score_gemma":0.9966133,"domain_scores_codex":[0.9917178,0.000673718,0.002089478,0.001797984,0.002252522,0.001468529],"domain_scores_gemma":[0.9908887,0.002359222,0.002590748,0.002811554,0.0006597203,0.0006900216],"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":[0.002465882,0.000264549,0.002747244,0.0008429947,0.001871016,0.00006739932,0.00004976535,0.0003086272,0.0000112022,0.0002192809,0.9909739,0.000178109],"study_design_scores_gemma":[0.003546173,0.0009337025,0.001683744,0.0004311227,0.003455213,0.0006425729,0.0007311896,0.001198009,7.113184e-7,4.558052e-7,0.986052,0.001325148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002856671,0.01133015,0.00001051873,0.000001313259,0.0002861802,0.002913845,0.9823024,0.00004277485,0.0002561235],"genre_scores_gemma":[0.005884863,0.0009444356,0.000399503,0.00004387035,0.0001032127,0.0000360485,0.9914587,0.0004723321,0.0006570636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01300563,"threshold_uncertainty_score":0.9998602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443224161266826,"score_gpt":0.2518893155858127,"score_spread":0.2274570739731444,"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."}}