{"id":"W6939017718","doi":"10.6068/dp14ba8fe287d90","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 activity status, compliance with regular and total payments, arrears status and assignment status at March 31 | Variable: Total all cases, Total arrears status at beginning of March of fiscal year, Total cases in complianceage of cases, Payment assigned to Crown, Regular payment due | 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrears; Law enforcement; Payment; Enforcement; Economic statistics; Economic Justice; Alimony; Census","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":[0.0006900008,0.0007834791,0.001518664,0.00006636538,0.0001770344,0.0001180604,0.0003556056,0.0002616759,0.000876992],"category_scores_gemma":[0.0001624135,0.0005145438,0.00000139339,0.0002984976,0.000378426,0.0002762284,0.0008280504,0.0004446571,9.862746e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183951,"about_ca_system_score_gemma":0.001781938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988586,"about_ca_topic_score_gemma":0.9869941,"domain_scores_codex":[0.9944064,0.0006422483,0.001129743,0.001230556,0.001290884,0.001300139],"domain_scores_gemma":[0.9940659,0.003048805,0.001025132,0.0006974082,0.0001883155,0.000974378],"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":[0.003019379,0.000318205,0.003141538,0.0008778286,0.0003753919,0.001249926,0.00001267761,0.00006725708,0.0005584354,0.00009922461,0.9899054,0.0003747508],"study_design_scores_gemma":[0.001269643,0.001603698,0.003662606,0.0004024682,0.0003918646,0.001271284,0.0005435516,0.0008072219,0.000002824557,1.65826e-7,0.9892679,0.0007767178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01232744,0.00525222,0.000004465541,0.000006042156,0.0002013124,0.00157553,0.9803668,0.00001456328,0.0002515807],"genre_scores_gemma":[0.02824249,0.00230628,0.000190042,0.00004732857,0.00003560564,0.00003833931,0.9677376,0.00003543507,0.001366882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01591505,"threshold_uncertainty_score":0.9997306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03315671080658466,"score_gpt":0.2472872887962043,"score_spread":0.2141305779896197,"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."}}