{"id":"W6976853924","doi":"10.6068/dp14ba8bb0f9336","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: Couple families, Provincial index of the Economic Dependency Ratio (EDR), Total government transfers | Units: $CAD, 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":"Religion, Theology, and Education","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; Dependency ratio; Social statistics; Official 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":[],"category_scores_codex":[0.0003755054,0.0006507397,0.001070246,0.00007602467,0.0002310187,0.0001857304,0.001133567,0.0003395905,0.001091072],"category_scores_gemma":[0.00003357112,0.0005722406,7.269203e-7,0.00006183184,0.0006422521,0.0002673468,0.0002990332,0.0004958455,0.000008522487],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000557165,"about_ca_system_score_gemma":0.01910656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995738,"about_ca_topic_score_gemma":0.9969237,"domain_scores_codex":[0.9967229,0.0002271197,0.001094382,0.0008359827,0.0005743704,0.0005452401],"domain_scores_gemma":[0.9972739,0.000240221,0.0008311514,0.001321208,0.00007318742,0.0002603243],"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":[0.0001605758,0.00005110327,0.0004453522,0.0003410573,0.0005818051,0.000004996095,0.000207577,0.00002718317,0.000002030428,0.0008764895,0.9971994,0.0001024519],"study_design_scores_gemma":[0.0007239368,0.0001384479,0.0002718739,0.00003954685,0.000852193,0.00002446399,0.003067155,0.0007629764,9.439051e-8,0.000001122173,0.9934831,0.0006350692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009672524,0.003189008,0.000003724667,0.000001861575,0.001477236,0.0008775296,0.9909104,0.00002440778,0.00254859],"genre_scores_gemma":[0.005891292,0.002728418,0.000008638268,0.00009697504,0.000345379,0.00001362199,0.9863763,0.0001388056,0.004400566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0185494,"threshold_uncertainty_score":0.9998221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009498529365137065,"score_gpt":0.1918947243324245,"score_spread":0.1823961949672874,"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."}}