{"id":"W6976439110","doi":"10.6068/dp14ba8eea26190","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled for the entire fiscal year, by activity status, type of beneficiary, change in arrears, length of enrolment | Variable: Total active cases, No arrears at beginning of year and change in arrears unknown, Enrolled for more than 5 to 10 years, Unknown 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":"Arrears; Official statistics; Census; Economic statistics; Law enforcement; Descriptive statistics; Economic Justice; Population; Social 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":[0.002315398,0.0024911,0.003091051,0.008988707,0.003376163,0.004518632,0.005565382,0.001396703,0.08777299],"category_scores_gemma":[0.01863272,0.002209817,0.002337609,0.03960152,0.0006214,0.002440812,0.002377662,0.003155681,0.04052337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06476809,"about_ca_system_score_gemma":0.164866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964426,"about_ca_topic_score_gemma":0.9949232,"domain_scores_codex":[0.9953249,0.00029407,0.0005714669,0.0005368529,0.002172044,0.001100732],"domain_scores_gemma":[0.9607351,0.001196342,0.001305309,0.0008968196,0.03366109,0.002205334],"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":[0.00003288388,0.0000104145,0.001737113,0.0002789253,0.00002538441,0.000006799265,0.000029553,0.00009777603,0.000008275513,0.0003472357,0.9955828,0.001842828],"study_design_scores_gemma":[0.0002984667,0.0000301899,0.06023503,0.001484502,0.0001310029,0.00004521098,0.001011388,0.000725435,0.0002426108,0.0007009686,0.9349691,0.0001261686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000986247,0.00006226883,0.00002556324,0.0001553588,0.00003505496,0.00002643315,0.9984393,0.00006290089,0.001094575],"genre_scores_gemma":[0.001517332,0.0004381217,0.0004665983,0.0002373966,0.00002829804,0.0001962405,0.9912053,0.0001220723,0.005788614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08777299,"threshold_uncertainty_score":0.4699276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563871566843402,"score_gpt":0.2806960830930435,"score_spread":0.2350573674246095,"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."}}