{"id":"W6957520806","doi":"10.6068/dp14ba8a08d5549","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Crime and Justice - Civil Courts and Family Law | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), number of enforcement actions by fiscal year quarter | Variable: 1st quarter (April 1st to June 30th), Interception of federal funds, put in place | 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":"Science Education and Perceptions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Economic statistics; Enforcement; Economic Justice; Quarter (Canadian coin); Census; Official statistics; Publication","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008551024,0.0004453336,0.0007397169,0.0001105613,0.00009389348,0.0001134738,0.0007375922,0.0002916329,0.01158945],"category_scores_gemma":[0.00005036767,0.000432454,3.522159e-7,0.0003020322,0.0003804537,0.0002755105,0.0001956771,0.0004097637,0.00002657339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992347,"about_ca_system_score_gemma":0.003139202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994604,"about_ca_topic_score_gemma":0.9990005,"domain_scores_codex":[0.9963993,0.0004360434,0.00101487,0.0008001353,0.0007388184,0.0006108512],"domain_scores_gemma":[0.9970633,0.0004112308,0.0006000412,0.001319427,0.0001873059,0.0004186718],"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":[0.0001871972,0.000227517,0.0001826384,0.0003021657,0.0001205919,0.00001003611,0.00006645153,0.00001065366,0.000005801143,0.001528561,0.997283,0.00007540282],"study_design_scores_gemma":[0.000911913,0.0001595806,0.0002307319,0.00007451833,0.0001808417,0.00004019184,0.00323996,0.0004027015,1.411802e-8,3.062678e-7,0.9943385,0.0004207106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008498688,0.0002310993,0.00009615997,0.00001304231,0.001339195,0.0006625743,0.9793708,0.00001483974,0.01826382],"genre_scores_gemma":[0.00114829,0.0001467402,0.0001552938,0.0002864844,0.0001072051,0.00003697472,0.9838826,0.00006586301,0.01417052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01156287,"threshold_uncertainty_score":0.9998127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955431747287832,"score_gpt":0.3168916607404388,"score_spread":0.2673373432675605,"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."}}