{"id":"W6976447632","doi":"10.6068/dp14ba8b04e5079","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 age of payor, arrears status and amount of regular payment due in March | Variable: 45 to 54 years old, Greater than $0 to $100, Total arrears status at end of fiscal year | 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":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arrears; Law enforcement; Enforcement; Economic statistics; Payment; 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":[0.00178569,0.0004310078,0.001158029,0.0001047304,0.00009963245,0.0001204365,0.0005898242,0.0003462477,0.0003710059],"category_scores_gemma":[0.0003661025,0.0004139124,4.906955e-7,0.000282523,0.0009222157,0.0002055289,0.000555368,0.0003675272,6.610683e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949104,"about_ca_system_score_gemma":0.005243375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999204,"about_ca_topic_score_gemma":0.9996241,"domain_scores_codex":[0.9953741,0.0006711771,0.0008961087,0.0007067163,0.001439134,0.0009127238],"domain_scores_gemma":[0.9964986,0.0009509312,0.000602619,0.0009014066,0.0002185392,0.0008278693],"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":[0.0003671957,0.00009115232,0.0004276639,0.0005326374,0.0001809778,0.0002266567,0.0001826591,0.00001030966,0.0000124934,0.001219789,0.9966353,0.0001131898],"study_design_scores_gemma":[0.0009585725,0.0003327457,0.0009736837,0.0001410396,0.0002224738,0.000009636359,0.001429656,0.00003724104,1.690322e-7,0.000001438396,0.9954673,0.0004260656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005520947,0.001283915,0.000002106717,0.000007807,0.0002277569,0.0009739244,0.9951744,0.000008178796,0.001769819],"genre_scores_gemma":[0.006205423,0.00129684,0.0001402612,0.0001135362,0.00004303594,0.00001185792,0.9897777,0.00007599081,0.002335351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005653328,"threshold_uncertainty_score":0.9998313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343610624807153,"score_gpt":0.2850937744826722,"score_spread":0.2507327120019569,"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."}}