{"id":"W6901509414","doi":"10.6068/dp14ba8c2d59d57","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: 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: 075-001-038.","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; Social 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":[0.002463158,0.00264747,0.003106741,0.00940882,0.003418499,0.004904845,0.005657773,0.001591787,0.08916243],"category_scores_gemma":[0.02140686,0.00228966,0.002360868,0.04001696,0.0006504494,0.002594515,0.002504031,0.003423019,0.04440851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06423783,"about_ca_system_score_gemma":0.1590582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958579,"about_ca_topic_score_gemma":0.9943703,"domain_scores_codex":[0.9951958,0.0003233826,0.0005997992,0.0005781889,0.002212174,0.001090631],"domain_scores_gemma":[0.9568282,0.001417181,0.001429268,0.001074013,0.0370475,0.002203709],"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":[0.00002958884,0.000009266056,0.001390689,0.0002844615,0.0000245418,0.000006450798,0.00002418635,0.0001041274,0.000008319761,0.0003125957,0.9961628,0.001642876],"study_design_scores_gemma":[0.0003043805,0.00002496971,0.05047145,0.001497868,0.000125925,0.00004045859,0.000777762,0.0007105967,0.0002302285,0.0007659689,0.9449264,0.0001238351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007077103,0.00005682362,0.00002267977,0.0001443481,0.00003301529,0.00002183397,0.9987534,0.00005862158,0.0008386322],"genre_scores_gemma":[0.001158002,0.0003817884,0.0004406832,0.0002261277,0.00002673164,0.0001855993,0.9926898,0.0001154467,0.004775772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08916243,"threshold_uncertainty_score":0.4660802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552949591597615,"score_gpt":0.254894868258251,"score_spread":0.2293653723422749,"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."}}