{"id":"W6976402155","doi":"10.6068/dp14ba8d45f7f17","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Seniors' characteristics, by family type, age of oldest individual and source of income | Variable: 55 to 64 years, Lone-parent families and persons not in census families, Amount of income, Wages, salaries and commissions | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Historical Studies in Central America","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demographic statistics; Socioeconomic status; Population; Population statistics; Official statistics; Economic statistics; Summary statistics; Fertility","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":[0.0003371238,0.0006341132,0.001581022,0.0001666744,0.0002153903,0.0001208964,0.0007241327,0.000259529,0.000294119],"category_scores_gemma":[0.00009685181,0.0005928724,4.709157e-7,0.0001450982,0.001461188,0.0001372283,0.001005989,0.0004929457,0.000001776832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298263,"about_ca_system_score_gemma":0.002769335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999077,"about_ca_topic_score_gemma":0.9918508,"domain_scores_codex":[0.9966171,0.000247589,0.0009764252,0.0007771801,0.0007870162,0.0005946876],"domain_scores_gemma":[0.9971416,0.0007567241,0.0006222088,0.0009606142,0.00009384126,0.0004249972],"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":[0.0001166934,0.00008494707,0.0004566867,0.0007492725,0.0004715408,0.00008874463,0.0003842232,0.000002471535,0.00001047842,0.0002427859,0.9969557,0.0004364826],"study_design_scores_gemma":[0.0005638647,0.0001699205,0.0005998673,0.00009641754,0.0006832759,0.0000123715,0.00381062,0.0000653206,3.060055e-8,1.717814e-7,0.9933788,0.0006193515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003082232,0.01359759,0.000001251432,0.000003712417,0.0004358164,0.0004306428,0.9842958,0.00002848763,0.0008984492],"genre_scores_gemma":[0.001446744,0.009747335,0.0001627601,0.000154085,0.00008451118,0.000005797405,0.9867723,0.0001352093,0.001491279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007226177,"threshold_uncertainty_score":0.9996523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056734293736275,"score_gpt":0.2263298400564562,"score_spread":0.1957624971190935,"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."}}