{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002130889,0.001390582,0.002822959,0.0002774714,0.000281816,0.0002258231,0.001165534,0.0005765791,0.0002219852],"category_scores_gemma":[0.0004972094,0.001297417,0.00000133554,0.0005411998,0.001373466,0.0005732301,0.001002359,0.0006732906,0.000001867332],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586198,"about_ca_system_score_gemma":0.009401898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993872,"about_ca_topic_score_gemma":0.997878,"domain_scores_codex":[0.9921369,0.0005401328,0.001998627,0.001829286,0.002070337,0.001424739],"domain_scores_gemma":[0.9912869,0.002620158,0.002288016,0.002259167,0.0006993551,0.0008464408],"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":[0.002963264,0.000266403,0.00110141,0.001664597,0.00142697,0.0002049606,0.00001884741,0.0003651373,0.00004850002,0.0005495817,0.9912632,0.0001271072],"study_design_scores_gemma":[0.003987939,0.000974708,0.0005188838,0.0005845601,0.002488431,0.0006457948,0.0004753174,0.002511295,0.000001008695,0.000001008669,0.9864812,0.001329819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002880852,0.01325525,0.00001734978,0.000001022324,0.0002850557,0.002364605,0.9807553,0.00004390569,0.0003966107],"genre_scores_gemma":[0.005982034,0.001525703,0.0007092275,0.00005688336,0.00007845528,0.00004352137,0.9905221,0.0004839998,0.0005981138],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01172955,"threshold_uncertainty_score":0.9998845,"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."}}