{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462233,0.0003605926,0.0008782429,0.00003450865,0.00007728261,0.00002790696,0.0003931986,0.0002322056,0.0008646662],"category_scores_gemma":[0.0002538168,0.0002159575,0.000001299867,0.0002005251,0.0001253315,0.0001440568,0.0002654541,0.0002317422,4.499209e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008380469,"about_ca_system_score_gemma":0.0008787812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988319,"about_ca_topic_score_gemma":0.9939508,"domain_scores_codex":[0.9977016,0.0002016525,0.0006153517,0.0005022229,0.0005219277,0.0004572182],"domain_scores_gemma":[0.9940214,0.004470662,0.0007706158,0.0003880746,0.0001717847,0.0001775024],"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":[0.002232329,0.0001820701,0.0004688953,0.0003919987,0.0002487516,0.00004227576,0.000008900254,0.00001827899,0.0001205676,0.0001701273,0.9955648,0.0005510087],"study_design_scores_gemma":[0.0005564328,0.0007296044,0.0007515917,0.0001333495,0.0003902977,0.00006956296,0.0003743578,0.00127451,0.000001337226,2.109689e-7,0.9954181,0.0003006644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002580368,0.00323036,7.293781e-7,0.000002667764,0.0002938854,0.001127539,0.9925833,0.000006536664,0.0001745987],"genre_scores_gemma":[0.02690659,0.001455162,0.0000372554,0.00001816425,0.00006926561,0.00002483758,0.970903,0.00001931175,0.0005664178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02432622,"threshold_uncertainty_score":0.9467489,"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."}}