{"id":"W6939016310","doi":"10.6068/dp14ba8dffa2437","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | 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 $600 to $1000 due to beneficiary in March of the fiscal year, Divorce Act orders, Spouse as the only beneficiary | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-025.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Beneficiary; Census; Descriptive statistics; Economic statistics; Law enforcement; Population; Criminal justice; Official statistics; Demographic 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":[0.002286398,0.002686814,0.003141941,0.009236585,0.003569219,0.004661851,0.005801658,0.00150794,0.08274285],"category_scores_gemma":[0.01917037,0.00223688,0.002457266,0.04186382,0.0006676866,0.002579282,0.002504541,0.003218512,0.04264962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06172659,"about_ca_system_score_gemma":0.1557047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962698,"about_ca_topic_score_gemma":0.9949934,"domain_scores_codex":[0.9954067,0.0002921561,0.0005659917,0.0005516573,0.002102401,0.001080974],"domain_scores_gemma":[0.9618223,0.001205107,0.001274006,0.0009498149,0.03259489,0.002153931],"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":[0.00002965838,0.000009141312,0.0015314,0.0002657449,0.00002567992,0.000006149267,0.00002572071,0.00009411691,0.000007728859,0.0003064548,0.9961892,0.00150911],"study_design_scores_gemma":[0.0003045787,0.00002704269,0.05481495,0.001414317,0.000133702,0.00004218005,0.0008938006,0.0006843798,0.0002420789,0.0006948868,0.9406192,0.0001290002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007151086,0.00005000182,0.00001986323,0.0001291498,0.00002844324,0.00002030745,0.9988323,0.00005485883,0.0007935959],"genre_scores_gemma":[0.001084962,0.0003419399,0.0003655046,0.0001931611,0.00002272596,0.0001609993,0.9937271,0.0000989764,0.004004647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08274285,"threshold_uncertainty_score":0.4478598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523768576193175,"score_gpt":0.2565659153426271,"score_spread":0.2313282295806954,"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."}}