{"id":"W6958035882","doi":"10.6068/dp14ba8d5aaef47","title":"Trend 2000 - 2011. 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: Children in couple families, Number of persons or families, Canada Pension Plan (CPP) and Quebec Pension Plan (QPP) | Units: $CAD, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-029.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Economic statistics; Socioeconomic status; Census; Population; Dependency ratio; Pension; Demographic statistics; Summary statistics; Personal income","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":[0.0002910821,0.0008887835,0.001564343,0.000143121,0.0001195735,0.0001070962,0.0009200447,0.0004746741,0.0004737136],"category_scores_gemma":[0.00004234195,0.0008538619,4.886526e-7,0.0001745121,0.0002653499,0.000272258,0.0005077004,0.0007128259,0.000006265659],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004996979,"about_ca_system_score_gemma":0.01204501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999827,"about_ca_topic_score_gemma":0.9999335,"domain_scores_codex":[0.9962448,0.0001552206,0.001140735,0.00100335,0.0006588129,0.0007970324],"domain_scores_gemma":[0.9970607,0.0003917974,0.0005292572,0.001417939,0.00006987697,0.0005304989],"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":[0.0001509501,0.00003817164,0.007311609,0.0004791357,0.0004699576,0.00007950068,0.00002213046,0.00008635147,0.00001809938,0.00001539633,0.991204,0.0001247582],"study_design_scores_gemma":[0.001278061,0.00008252188,0.005434224,0.00009442602,0.0006596106,0.0001436608,0.0006226496,0.0119997,2.26682e-7,7.330168e-8,0.9785738,0.001111064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01614007,0.003669134,0.00000204828,7.876492e-7,0.0004088305,0.0007068776,0.9787992,0.00005374085,0.0002193361],"genre_scores_gemma":[0.00646716,0.004343397,0.00007378101,0.00006641715,0.00007626537,0.000007079142,0.9879673,0.0002336062,0.0007650398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01263016,"threshold_uncertainty_score":0.9993912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140111888968406,"score_gpt":0.2021257656186168,"score_spread":0.1907246467289327,"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."}}