{"id":"W6901532979","doi":"10.6068/dp14ba8c8e5a299","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | 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: Fourth decile of arrears owing, Total amount of arrears owing, Spouse and children as beneficiaries | Units: # $CAD, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-038.","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; Alimony; Enforcement; Law enforcement; Decile; Economic statistics; Economic Justice; Payment; Descriptive statistics","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":[0.002439969,0.002632186,0.003073549,0.009414564,0.003432859,0.004927051,0.005604411,0.001592671,0.08926234],"category_scores_gemma":[0.02135253,0.002271423,0.002341254,0.03987973,0.0006467295,0.002591184,0.002489125,0.003386847,0.04528584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06371412,"about_ca_system_score_gemma":0.1581613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958571,"about_ca_topic_score_gemma":0.9943613,"domain_scores_codex":[0.9951925,0.0003224672,0.0005995079,0.0005790759,0.002221054,0.001085329],"domain_scores_gemma":[0.9569865,0.001412432,0.001429881,0.001068056,0.0369231,0.002179984],"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":[0.00002861441,0.000009086995,0.001350045,0.0002756677,0.00002353259,0.000006281965,0.00002342592,0.0001023655,0.000008115438,0.0003049894,0.9962309,0.00163698],"study_design_scores_gemma":[0.0002979657,0.00002464094,0.04949399,0.00146741,0.0001221214,0.00003928863,0.0007599805,0.0007073995,0.0002264781,0.0007481207,0.9459921,0.0001205885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007066805,0.00005680065,0.00002271345,0.0001462361,0.00003296732,0.00002175415,0.9987307,0.00005928879,0.0008588806],"genre_scores_gemma":[0.001139237,0.0003805324,0.0004336082,0.0002273276,0.00002676297,0.0001833245,0.9925936,0.0001150096,0.004900571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08926234,"threshold_uncertainty_score":0.4622805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261862921819026,"score_gpt":0.2533723973543821,"score_spread":0.2271861051724794,"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."}}