{"id":"W6920656494","doi":"10.6068/dp14ba8d7f9c991","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: 10 to 14 years old, Total number of children per length of enrolment of their case, Unknown number of children in 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; Economic Justice; Official statistics; Population; Socioeconomic status; Economic statistics; Social statistics; Crime 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":[0.002690075,0.002579923,0.003096578,0.008998584,0.003417112,0.004621889,0.005866701,0.001530572,0.08757628],"category_scores_gemma":[0.02224135,0.002250636,0.002548036,0.04040558,0.0006651934,0.002601009,0.002521116,0.003361457,0.04115295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06371206,"about_ca_system_score_gemma":0.1634861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960495,"about_ca_topic_score_gemma":0.9945768,"domain_scores_codex":[0.9946456,0.0003714017,0.0006763704,0.0006042644,0.002501021,0.001201468],"domain_scores_gemma":[0.9552882,0.001511857,0.001509668,0.001119282,0.03817266,0.002398301],"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":[0.00003073565,0.000009309257,0.001559775,0.0002836432,0.00002624989,0.000005831548,0.00002622489,0.00009614418,0.000008215374,0.000329343,0.9959664,0.001658083],"study_design_scores_gemma":[0.0003136282,0.00002773209,0.05551842,0.001594814,0.0001315169,0.00003986176,0.000858315,0.0007011055,0.0002375097,0.0007785252,0.9396644,0.0001342593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007433474,0.00005254139,0.00002451837,0.0001534718,0.00003318405,0.00002539798,0.9986554,0.00006049161,0.0009205432],"genre_scores_gemma":[0.001261118,0.0003993089,0.0005108342,0.0002526731,0.0000283145,0.0002250137,0.992183,0.0001272647,0.005012384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08757628,"threshold_uncertainty_score":0.4622655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187648142977366,"score_gpt":0.252023653325599,"score_spread":0.2332588390278623,"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."}}