{"id":"W6957590486","doi":"10.6068/dp14ba8ea214010","title":"Trend 2002 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Low Income and Inequality | Country: Canada | Table: Persons in low income families | Variable: Market basket measure, 2011 base, Males 18 to 64 years in economic families, Aggregate low income gap as a percentage of income | Units: , 2002-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-121.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Ultrasound and Cavitation Phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Economic inequality; Economic statistics; Population; Socioeconomic status; Census; Low income; Household income; Inequality; Demographic statistics","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":[0.002178606,0.002530848,0.002839831,0.007936808,0.003375594,0.00525453,0.00580344,0.001576847,0.08770547],"category_scores_gemma":[0.01865202,0.001928881,0.002419208,0.03867764,0.0006119813,0.002462698,0.002612199,0.003392286,0.04991578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05071701,"about_ca_system_score_gemma":0.1165994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938161,"about_ca_topic_score_gemma":0.9924403,"domain_scores_codex":[0.9961634,0.0002517618,0.0004479087,0.000471766,0.001730656,0.0009345436],"domain_scores_gemma":[0.9678708,0.001120481,0.0009637272,0.001004821,0.0274486,0.001591549],"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":[0.00002505376,0.000006580551,0.001022758,0.0002356387,0.00002071218,0.000005925114,0.00002026989,0.00008474293,0.000007411353,0.000314954,0.9967102,0.001545622],"study_design_scores_gemma":[0.0002119921,0.00001445281,0.03096035,0.001132159,0.00008946902,0.00003341517,0.0005222493,0.0005451897,0.0002094348,0.0007973503,0.9653726,0.0001114164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004672412,0.00004124152,0.00001892411,0.0001044914,0.00002186474,0.00001511418,0.9990282,0.0000517547,0.000671696],"genre_scores_gemma":[0.0007088131,0.0002416736,0.0003488774,0.0001388361,0.00001638354,0.0001396674,0.9951179,0.00009498921,0.003192818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08770547,"threshold_uncertainty_score":0.3679794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478713466667192,"score_gpt":0.2478451662517962,"score_spread":0.2230580315851243,"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."}}