{"id":"W6901652001","doi":"10.6068/dp14ba8e213bc56","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, Unknown arrears at beginning of fiscal year, Enrolled for 5 years or less, Total cases, type of 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; Economic statistics; Census; Official statistics; Descriptive statistics; Economic Justice; Law enforcement; Population; 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":[0.002422854,0.002515194,0.003003604,0.009295207,0.003382593,0.004495449,0.005503394,0.001446543,0.08821274],"category_scores_gemma":[0.02011575,0.002220887,0.002288752,0.04071068,0.0006311012,0.002513595,0.002452434,0.003178363,0.04109087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06154053,"about_ca_system_score_gemma":0.1569121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959407,"about_ca_topic_score_gemma":0.9943805,"domain_scores_codex":[0.9953216,0.0003147831,0.0005823706,0.000555946,0.002130729,0.001094583],"domain_scores_gemma":[0.9594944,0.001381991,0.001420195,0.001004726,0.03437094,0.00232784],"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":[0.00003001594,0.000009345962,0.001484469,0.0002573922,0.00002381369,0.000006124814,0.00002608357,0.00009629645,0.000007568446,0.000320651,0.9960902,0.001647939],"study_design_scores_gemma":[0.0002959596,0.00002706752,0.05469799,0.0014231,0.0001221687,0.00004121341,0.0008741761,0.0007053207,0.0002272827,0.0007287476,0.9407341,0.0001228195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007931422,0.00005155275,0.00002276512,0.0001427828,0.00003084326,0.00002209865,0.9987161,0.00005829371,0.0008762676],"genre_scores_gemma":[0.001215767,0.0003621951,0.0004168192,0.0002130067,0.00002526271,0.0001813928,0.9927314,0.0001126888,0.004741578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08821274,"threshold_uncertainty_score":0.4465099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057091126588231,"score_gpt":0.2845255924759906,"score_spread":0.2274344658877596,"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."}}