{"id":"W6901538860","doi":"10.6068/dp14ba881b00d24","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), number of enforcement actions by fiscal year quarter | Variable: 3rd quarter (October 1st to December 31st), Maintenance enforcement program trace | 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":"Law enforcement; Census; Enforcement; Quarter (Canadian coin); Economic Justice; Population; Economic statistics; Socioeconomic status; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002532395,0.002731481,0.003011337,0.009296332,0.003920158,0.005215987,0.005727666,0.001567067,0.110135],"category_scores_gemma":[0.02045794,0.002335873,0.002527559,0.04203777,0.000675491,0.003006327,0.002553938,0.003361794,0.05810052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06132128,"about_ca_system_score_gemma":0.1647223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957289,"about_ca_topic_score_gemma":0.9938167,"domain_scores_codex":[0.9949526,0.0003415154,0.0005725599,0.0005960934,0.002364519,0.001172736],"domain_scores_gemma":[0.9601021,0.001270607,0.001170322,0.001081285,0.03421609,0.002159668],"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":[0.0000247293,0.000007418663,0.001139347,0.0002270551,0.00001986394,0.000005745336,0.00002219034,0.00008317249,0.000007321346,0.0003297517,0.9964589,0.001674465],"study_design_scores_gemma":[0.0002211047,0.00001902543,0.03382637,0.001193172,0.00009369059,0.00003255502,0.0006504964,0.0005513917,0.0001985,0.0007116,0.9623952,0.0001068151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005874123,0.00005494865,0.00002759486,0.0001623798,0.00003770095,0.00002276098,0.9984107,0.0000714218,0.00115379],"genre_scores_gemma":[0.001052794,0.0004052136,0.0005125238,0.000234653,0.00002835868,0.0001937849,0.9915652,0.0001640302,0.005843431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8898649,"threshold_uncertainty_score":0.4449191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687750683275951,"score_gpt":0.2720272983662011,"score_spread":0.2451497915334416,"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."}}