{"id":"W6939192114","doi":"10.6068/dp14ba8e7903831","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), cases enrolled for the entire fiscal year, by activity status, type of beneficiary, change in arrears, length of enrolment | Variable: Total active cases, Arrears at beginning of fiscal year, Enrolled for more than 10 years, 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrears; Economic statistics; Law enforcement; Enforcement; Economic Justice; Payment; Beneficiary; Descriptive statistics; Alimony","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":[0.002505609,0.00251914,0.002961713,0.009893074,0.003442251,0.004831503,0.005590717,0.0015018,0.0863874],"category_scores_gemma":[0.02182232,0.002101735,0.00224003,0.04113062,0.0006428525,0.002574049,0.002521512,0.003329063,0.04177312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06249988,"about_ca_system_score_gemma":0.1580752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958251,"about_ca_topic_score_gemma":0.9946113,"domain_scores_codex":[0.9950918,0.0003257475,0.0006127662,0.0005847424,0.002278647,0.001106247],"domain_scores_gemma":[0.9567468,0.001441219,0.001492557,0.001063188,0.03697852,0.002277571],"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":[0.00002732436,0.000008445694,0.001429875,0.0002652955,0.00002376025,0.000006453382,0.0000259955,0.00009415121,0.000007651889,0.0003232698,0.9960772,0.001710424],"study_design_scores_gemma":[0.000254195,0.0000225384,0.05067575,0.001454183,0.0001200707,0.0000390879,0.0007839411,0.0006441412,0.0002081858,0.0007833625,0.9448974,0.0001171064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007773454,0.00006114123,0.00002384638,0.0001537606,0.00003359048,0.00002191115,0.9986809,0.00005742186,0.0008897346],"genre_scores_gemma":[0.001149173,0.0003831026,0.0004164014,0.0002174258,0.00002631983,0.0001730551,0.9927246,0.000106976,0.004802885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0863874,"threshold_uncertainty_score":0.4534705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04414719447898934,"score_gpt":0.2642860810333647,"score_spread":0.2201388865543753,"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."}}