{"id":"W6920816668","doi":"10.6068/dp14ba8fdd9e156","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, by order authority, type of beneficiary and regular amount due in March | Variable: Greater than $0 to $100 due to beneficiary in March of the fiscal year, Orders from provincial and/or territorial statutes, Spouse and children as 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":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Beneficiary; Enforcement; Alimony; Economic Justice; Economic statistics; Order (exchange); Arrears; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000945836,0.000501618,0.0009223082,0.00008377544,0.00008530942,0.0001069854,0.0007896257,0.0002526118,0.0003177367],"category_scores_gemma":[0.0001388467,0.0004142017,2.672042e-7,0.0003322501,0.0003908276,0.0001760619,0.002077136,0.000365664,5.801987e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928185,"about_ca_system_score_gemma":0.001504046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999072,"about_ca_topic_score_gemma":0.9998174,"domain_scores_codex":[0.9963251,0.0004186698,0.0007850921,0.0009342791,0.0009385551,0.0005983138],"domain_scores_gemma":[0.9977046,0.0004538149,0.0003641023,0.001098477,0.0000490796,0.0003299688],"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":[0.000929823,0.0001047871,0.00188397,0.0002726128,0.0001016654,0.0001245464,0.00002010661,0.0003312985,0.000002540565,0.000292529,0.9957779,0.0001582129],"study_design_scores_gemma":[0.001223745,0.0003090142,0.004960865,0.0001236833,0.0002361457,0.00003476877,0.0002727313,0.001868625,7.387919e-8,0.000001735151,0.9904879,0.0004807528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002763982,0.0008831463,0.00000368223,0.00001115057,0.0002617794,0.001607968,0.9942439,0.000006793205,0.0002176401],"genre_scores_gemma":[0.00546916,0.000303536,0.0002293106,0.000117524,0.00006750895,0.0000205511,0.9934159,0.00008142219,0.0002950713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005290048,"threshold_uncertainty_score":0.999831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058150881207714,"score_gpt":0.2429259683084472,"score_spread":0.2223444594963701,"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."}}