{"id":"W6901781852","doi":"10.6068/dp14ba8f933d453","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 $400 to $600 due to beneficiary in March of the fiscal year, Agreements registered under provincial statute, Children as the only beneficiaries | 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":"Census; Beneficiary; Economic statistics; Economic Justice; Law enforcement; Descriptive statistics; Official statistics; Population; Criminal justice; 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":[0.002557559,0.002704083,0.003183564,0.009518255,0.003704286,0.004844973,0.005873524,0.001480627,0.08585082],"category_scores_gemma":[0.02011201,0.002321305,0.002471772,0.04300768,0.0006845571,0.002554156,0.002535081,0.003294119,0.04215296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06824227,"about_ca_system_score_gemma":0.1754713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965333,"about_ca_topic_score_gemma":0.9952894,"domain_scores_codex":[0.994902,0.0003298317,0.0006144011,0.0006036678,0.002359561,0.001190538],"domain_scores_gemma":[0.9594247,0.001297013,0.001309309,0.001035659,0.03461204,0.002321287],"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":[0.00003144874,0.000009394508,0.001518879,0.0002754615,0.00002602664,0.000006511719,0.00002791135,0.00009743487,0.000008428429,0.0003458163,0.9959502,0.001702434],"study_design_scores_gemma":[0.000285008,0.00002612268,0.05330589,0.001460481,0.0001319275,0.00004176376,0.0008842589,0.0006763913,0.0002407001,0.0007155889,0.9421039,0.0001278547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007616028,0.00005656049,0.00002425833,0.0001471898,0.00003397595,0.00002403963,0.9986128,0.00006164471,0.0009634266],"genre_scores_gemma":[0.001263533,0.0004060998,0.0004724693,0.000230511,0.00002606787,0.0001961547,0.9923002,0.000122014,0.004983021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08585082,"threshold_uncertainty_score":0.4951346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071938321087034,"score_gpt":0.2617428773377513,"score_spread":0.231023494126881,"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."}}