{"id":"W6957962989","doi":"10.6068/dp14ba8ffd30d69","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled, by activity status, type of beneficiary, interjurisdictional support order status and regularity of compliance | Variable: Total active cases, Total interjurisdictional support order casesage of cases, Full compliance with payment 1 to 2 months of the fiscal year, Spouse and children as 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; Official statistics; Economic Justice; Law enforcement; Population; Socioeconomic status; Demographic statistics; Population statistics; Enforcement; Criminal justice","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":[0.002174489,0.002568986,0.003086523,0.008591223,0.003268833,0.004376056,0.006146898,0.001461665,0.08611242],"category_scores_gemma":[0.01751851,0.002277556,0.002475183,0.03925039,0.0006035494,0.002438837,0.002454739,0.003309625,0.0415038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05756148,"about_ca_system_score_gemma":0.1316746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995363,"about_ca_topic_score_gemma":0.9937671,"domain_scores_codex":[0.995661,0.0002710009,0.0005606355,0.0005329962,0.001950991,0.001023547],"domain_scores_gemma":[0.96271,0.001105878,0.001358639,0.0009189066,0.03185195,0.002054593],"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":[0.00003445537,0.00001177286,0.002158634,0.0003003536,0.00002844254,0.000007214432,0.00002884953,0.00010427,0.000008002802,0.0002904558,0.9954442,0.001583478],"study_design_scores_gemma":[0.0003862216,0.00003450563,0.07877233,0.001762791,0.0001537103,0.00005217424,0.00111006,0.0008312035,0.0002662573,0.0007309099,0.9157626,0.0001372632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008937951,0.00004849553,0.00001873784,0.0001151716,0.00002770805,0.00002117076,0.9988738,0.00004768484,0.0007578249],"genre_scores_gemma":[0.001182889,0.000306199,0.0003002279,0.0001728382,0.00002219008,0.0001712534,0.9937379,0.00008503878,0.004021496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08611242,"threshold_uncertainty_score":0.4176397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277790305267452,"score_gpt":0.2610461559859658,"score_spread":0.2332671254592206,"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."}}