{"id":"W6976561936","doi":"10.6068/dp14ba8f1d39d24","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 all cases, Arrears at beginning of year and arrears have increased, Enrolled for 5 years or less, Spouse as the only beneficiary | 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":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrears; Alimony; Law enforcement; Economic statistics; Enforcement; Economic Justice; Social statistics; Descriptive statistics; Official 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":[0.00238257,0.002495281,0.002943018,0.009425211,0.003440935,0.004749661,0.005535398,0.001527828,0.08416962],"category_scores_gemma":[0.0206369,0.002068458,0.002149834,0.03955496,0.0006253777,0.002479846,0.002464703,0.003240719,0.03971716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06405264,"about_ca_system_score_gemma":0.1572125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960973,"about_ca_topic_score_gemma":0.9950413,"domain_scores_codex":[0.9953405,0.0002992268,0.0005662736,0.000563579,0.002145014,0.00108551],"domain_scores_gemma":[0.9588939,0.001384951,0.001436489,0.001000142,0.03506857,0.002215971],"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":[0.00002684155,0.000008986575,0.001470066,0.000260239,0.00002278041,0.00000664688,0.00002692939,0.00009890924,0.000007850304,0.0003381994,0.9961042,0.00162837],"study_design_scores_gemma":[0.000250729,0.00002307874,0.05201736,0.001419115,0.0001150963,0.00003931948,0.0008587647,0.0006926309,0.0002209649,0.0007492498,0.9434953,0.0001184988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008180689,0.00005838952,0.00002291172,0.0001509632,0.00003195579,0.00002198611,0.998681,0.00005446994,0.0008965236],"genre_scores_gemma":[0.001244658,0.0003765251,0.0004041929,0.0002205676,0.00002503854,0.0001730217,0.9924834,0.0001033198,0.004969279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08416962,"threshold_uncertainty_score":0.4647366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400372326935813,"score_gpt":0.2667380813488126,"score_spread":0.2227343580794545,"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."}}