{"id":"W6976766088","doi":"10.6068/dp14ba8a08fd450","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), age of children, by number of child beneficiaries and length of enrolment, at March 31 | Variable: Unknown age of children, Greater than 10 years, Total number of children in cases | 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":"Law enforcement; Economic statistics; Census; Enforcement; Economic Justice; Official statistics; Publication; Socioeconomic status","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":[0.002562256,0.00261655,0.002989521,0.009489674,0.003481434,0.004840537,0.005496847,0.0015972,0.09384532],"category_scores_gemma":[0.02253186,0.00210707,0.002399296,0.03976592,0.0006394918,0.002637419,0.002499916,0.003315445,0.04727758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06098632,"about_ca_system_score_gemma":0.1525372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953319,"about_ca_topic_score_gemma":0.9939029,"domain_scores_codex":[0.9950821,0.0003369952,0.0005910869,0.0005713708,0.002304001,0.001114419],"domain_scores_gemma":[0.956564,0.001492889,0.001435254,0.001087859,0.03716978,0.0022503],"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":[0.00002509937,0.000007426714,0.001222247,0.0002723906,0.00002124001,0.000006091833,0.00002280012,0.00009134556,0.000007935131,0.0003065288,0.9963756,0.001641259],"study_design_scores_gemma":[0.0002427214,0.00001986653,0.04125451,0.001434253,0.000101165,0.0000354147,0.0006705322,0.0005917529,0.0001976257,0.0007625972,0.9545735,0.0001158892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006244043,0.00005731605,0.00002362239,0.0001531102,0.00003390861,0.00002093528,0.9986952,0.00005794828,0.0008956155],"genre_scores_gemma":[0.001082833,0.0004055315,0.0004834233,0.0002370185,0.00002810018,0.0001958485,0.992409,0.0001293806,0.005029005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09384532,"threshold_uncertainty_score":0.4424888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000624293808981,"score_gpt":0.2488116464871531,"score_spread":0.2288054035490633,"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."}}