{"id":"W6920584253","doi":"10.6068/dp14ba8f9b6b89","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled for the entire fiscal year, by activity status, type of beneficiary, change in arrears, length of enrolment | Variable: Total active cases, Arrears at beginning of year and change in arrears unknown, Enrolled for more than 10 years, Children as the only beneficiaries | Units: #, 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; Law enforcement; Economic statistics; Enforcement; Economic Justice; Payment; Alimony; Census","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":[0.002430183,0.002505596,0.003003547,0.00919979,0.003357243,0.004839162,0.005529351,0.001524539,0.08115101],"category_scores_gemma":[0.02090385,0.002051527,0.002209628,0.03943149,0.0006345584,0.002448956,0.002499167,0.00328822,0.04008903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06132301,"about_ca_system_score_gemma":0.151962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959177,"about_ca_topic_score_gemma":0.9947942,"domain_scores_codex":[0.9953721,0.0003143467,0.0005601912,0.0005662338,0.00209743,0.001089706],"domain_scores_gemma":[0.9597034,0.001397065,0.001423852,0.001049427,0.03420864,0.002217588],"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":[0.00002746676,0.000008804057,0.00154101,0.0002596554,0.00002438389,0.000007011366,0.00002780124,0.0001025951,0.000007732571,0.0003463141,0.9959979,0.001649301],"study_design_scores_gemma":[0.0002485035,0.00002230959,0.04993399,0.001421861,0.0001150683,0.00003981357,0.0008352656,0.0006946952,0.0002066903,0.0007874878,0.9455765,0.0001177986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007797566,0.0000603919,0.00002375118,0.0001477535,0.00003151896,0.00002007144,0.9987508,0.00005489973,0.0008328531],"genre_scores_gemma":[0.001209785,0.0003771833,0.0004070556,0.000214906,0.00002505038,0.0001636511,0.9929506,0.0001034686,0.004548274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08115101,"threshold_uncertainty_score":0.4449317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04215404695558705,"score_gpt":0.2796681688402987,"score_spread":0.2375141218847116,"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."}}