{"id":"W6920208782","doi":"10.6068/dp14ba8e35ab587","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases, by order authority, type of beneficiary and regular amount due in March | Variable: Zero dollars due to beneficiary in March of the fiscal year, Unknown order authority, Total cases, type of beneficiary | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-038.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beneficiary; Law enforcement; Economic statistics; Enforcement; Economic Justice; Order (exchange); Census; Arrears; Payment","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003315115,0.001104089,0.002501269,0.0003247783,0.000126593,0.0001096654,0.001642819,0.0007891795,0.0004638681],"category_scores_gemma":[0.0008452185,0.001015417,8.061707e-7,0.001788983,0.000776171,0.0003044344,0.002117035,0.001110032,0.000002575449],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004301695,"about_ca_system_score_gemma":0.01364655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997432,"about_ca_topic_score_gemma":0.9995934,"domain_scores_codex":[0.9913515,0.001474304,0.002216313,0.001567217,0.002124784,0.001265858],"domain_scores_gemma":[0.992319,0.002067144,0.001385554,0.002755798,0.0008699594,0.0006025732],"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":[0.001594604,0.000451985,0.0005688124,0.002269532,0.0003612212,0.0008878069,0.000009055057,0.0004086931,0.00002753537,0.002063874,0.9912383,0.0001185769],"study_design_scores_gemma":[0.002029916,0.0004784073,0.0009456192,0.0004575225,0.0007637767,0.0004737823,0.0002331795,0.004074328,1.910192e-7,0.000002543684,0.9895465,0.0009942645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003251109,0.009142074,0.000005992888,0.000006285588,0.000556248,0.002072065,0.9872292,0.00002262325,0.0006404063],"genre_scores_gemma":[0.003877818,0.0007891809,0.0004381437,0.00007126551,0.00006776764,0.00002448805,0.9936534,0.0003383709,0.0007395221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01321638,"threshold_uncertainty_score":0.9992296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434642494931475,"score_gpt":0.2745191607340572,"score_spread":0.2401727357847424,"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."}}