{"id":"W6920407764","doi":"10.6068/dp14ba859d4c489","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), age of children, by number of child beneficiaries and length of enrolment, at March 31 | Variable: Unknown age of children, Less than or equal to 1 year, Two child cases | 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; Law enforcement; Official statistics; Economic Justice; Population; Socioeconomic status; Economic statistics; Crime statistics; 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":[0.002762643,0.002743845,0.003169034,0.008901568,0.003385459,0.004676686,0.005998689,0.001552988,0.09196562],"category_scores_gemma":[0.02035564,0.002374859,0.002595322,0.03971926,0.0006565301,0.002548919,0.002433174,0.003283001,0.0462306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06484199,"about_ca_system_score_gemma":0.1654824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958746,"about_ca_topic_score_gemma":0.9940283,"domain_scores_codex":[0.9946947,0.000366366,0.0006467353,0.0006098875,0.002483248,0.00119914],"domain_scores_gemma":[0.958008,0.001398216,0.001393465,0.001064124,0.03579187,0.002344352],"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":[0.0000299863,0.000008720721,0.001388187,0.0002928699,0.00002368924,0.000006126257,0.000024657,0.00009622338,0.000008856,0.0003281664,0.995906,0.00188635],"study_design_scores_gemma":[0.0002749945,0.00002456643,0.0468001,0.001491591,0.0001168272,0.00003781097,0.000697616,0.0006000185,0.0002228828,0.0006994713,0.9489175,0.000116625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007052505,0.00006312162,0.00002790492,0.0001628989,0.00003674552,0.00002678765,0.998464,0.00006599871,0.001082161],"genre_scores_gemma":[0.001255588,0.000491532,0.0005940465,0.000284814,0.00003067262,0.000245869,0.9907527,0.0001542532,0.006190538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09196562,"threshold_uncertainty_score":0.4704638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402957182164201,"score_gpt":0.2707757691361876,"score_spread":0.2367461973145455,"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."}}