{"id":"W6901684980","doi":"10.6068/dp14ba903043d9","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases, by activity status, compliance with regular and total payments, arrears status and assignment status at March 31 | Variable: Total all cases, No arrears owing at beginning of March of the fiscal year, Full compliance with payment in March of the fiscal year, Total number of cases, Non-assigned payment, Regular payment due | 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; Payment; Official statistics; Law enforcement; Economic Justice; Population; Socioeconomic status; 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":[0.002407581,0.002583669,0.003171003,0.00851251,0.003400674,0.004394439,0.006144696,0.001467069,0.08394875],"category_scores_gemma":[0.01951124,0.002300875,0.002383571,0.03843677,0.0006349809,0.002472919,0.002463349,0.003562665,0.04047721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05696507,"about_ca_system_score_gemma":0.1395918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955086,"about_ca_topic_score_gemma":0.9940352,"domain_scores_codex":[0.9954033,0.0003211243,0.0005913842,0.0005816671,0.002004307,0.001098144],"domain_scores_gemma":[0.9599392,0.001308454,0.001512565,0.001024389,0.03394808,0.002267262],"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":[0.00003279928,0.00001129881,0.002082542,0.0002816751,0.00002811256,0.000007083986,0.00003027348,0.000101194,0.00000778815,0.0002958584,0.9955733,0.001548052],"study_design_scores_gemma":[0.0003922976,0.00003545768,0.0791133,0.001780491,0.0001515249,0.00005003464,0.001125344,0.0008549793,0.0002552858,0.0008367434,0.9152576,0.0001469382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009069473,0.00004514036,0.00002254285,0.0001231204,0.0000293285,0.00002363287,0.9989018,0.00005128609,0.0007124307],"genre_scores_gemma":[0.001231119,0.0003005459,0.0003575962,0.0001984385,0.00002494646,0.0001988534,0.9937227,0.0000925966,0.00387305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08394875,"threshold_uncertainty_score":0.4133124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810929703564379,"score_gpt":0.2556929955685476,"score_spread":0.2275836985329038,"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."}}