{"id":"W6976565500","doi":"10.6068/dp14ba89d21d078","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, single-earner and dual-earner families, by number of children | Variable: Families with or without children, Median employment income, Single-earner-male couple families | Units: $CAD, 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":"American Sports and Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Demographic statistics; Population; Economic statistics; Official statistics; Social statistics; Summary statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000437398,0.001649421,0.002384994,0.0002257187,0.0004998727,0.0007424157,0.001284093,0.000586111,0.006393431],"category_scores_gemma":[0.00004459949,0.001301206,0.000001192436,0.0002201245,0.002048141,0.0005870722,0.0007108687,0.001192992,0.00002484112],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026232,"about_ca_system_score_gemma":0.009358855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988321,"about_ca_topic_score_gemma":0.9923849,"domain_scores_codex":[0.9933164,0.0003092716,0.001509096,0.0018846,0.001661791,0.001318909],"domain_scores_gemma":[0.9946673,0.000418291,0.001445199,0.002432463,0.0002384516,0.0007983049],"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":[0.0003571994,0.0002348808,0.002430274,0.0004047593,0.0009117164,0.0002548449,0.0001947513,0.000005484105,0.000005630589,0.0002510718,0.9941929,0.0007564872],"study_design_scores_gemma":[0.001415067,0.0003567188,0.0002130654,0.0001830602,0.0009310277,0.0002435111,0.003682478,0.0001908146,6.75805e-8,1.582335e-7,0.9910182,0.001765856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004055331,0.007229798,0.000002946463,0.000003897515,0.0005644044,0.0009802023,0.9794124,0.0001523,0.01124847],"genre_scores_gemma":[0.0006714026,0.006068376,0.0002161303,0.0007243313,0.0006239578,0.00002573453,0.960057,0.0005797124,0.03103334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01978487,"threshold_uncertainty_score":0.9996253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645848144271968,"score_gpt":0.2086516602923294,"score_spread":0.1921931788496097,"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."}}