{"id":"W6976263076","doi":"10.6068/dp14ba862a01916","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Children and Youth - Low-Income Families | Country: Canada | Table: Family characteristics, economic dependency profile, by family type and source of income | Variable: Female partners in couple families, Amount of income, Private pensions | Units: $CAD x 1,000, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-029.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Socioeconomic status; Census; Population; Demographic statistics; Summary statistics; Social statistics; Statistics education; Population 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":[0.002323208,0.002405243,0.002646883,0.007969573,0.003678425,0.004573213,0.005885399,0.001412821,0.100817],"category_scores_gemma":[0.01813624,0.001881694,0.002360914,0.03442871,0.0006055555,0.002418138,0.002415379,0.003087582,0.04745841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0535407,"about_ca_system_score_gemma":0.1244659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951128,"about_ca_topic_score_gemma":0.9936484,"domain_scores_codex":[0.9965013,0.0002509967,0.0004353993,0.0004617776,0.001485426,0.0008651624],"domain_scores_gemma":[0.9670787,0.001174668,0.001023218,0.0009794879,0.0279575,0.001786413],"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":[0.00003099176,0.000007314219,0.001401847,0.0002963385,0.00002244191,0.000007803794,0.00003117403,0.00009625071,0.000009004163,0.0003388526,0.9956,0.002157879],"study_design_scores_gemma":[0.0002190131,0.000016071,0.03607012,0.001370341,0.00008993733,0.00003910325,0.0006624714,0.0005323153,0.0001927841,0.0008024399,0.9598932,0.0001122513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006382587,0.00004826379,0.00002466237,0.0001182938,0.00002568193,0.00001994327,0.9987977,0.00005854786,0.0008431707],"genre_scores_gemma":[0.0009965127,0.0003342439,0.0004854141,0.0001795076,0.00001861781,0.00020316,0.9934495,0.0001237058,0.004209395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.100817,"threshold_uncertainty_score":0.3884668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335796542358815,"score_gpt":0.2206201280249129,"score_spread":0.1972621626013248,"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."}}