{"id":"W6901535839","doi":"10.6068/dp14ba80319e349","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type and age group | Variable: 70 to 74 years, Total taxfilers and dependants | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Population; Economic statistics; Summary statistics; Official statistics; Statistical analysis; Fertility; 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":[0.002077095,0.002438974,0.002682269,0.008454124,0.003512752,0.004762772,0.005703949,0.001323759,0.0900054],"category_scores_gemma":[0.0163172,0.00179119,0.002225846,0.03920754,0.0005880279,0.00233992,0.002488391,0.002846498,0.04382772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05946315,"about_ca_system_score_gemma":0.1205518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959254,"about_ca_topic_score_gemma":0.994555,"domain_scores_codex":[0.9960936,0.0002711086,0.0004305322,0.0004891912,0.001747282,0.0009682568],"domain_scores_gemma":[0.9708179,0.001066512,0.0009941158,0.0008846682,0.0245926,0.001644239],"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":[0.00002794541,0.000007980248,0.001589417,0.0002896822,0.00002593777,0.000008759906,0.00003804198,0.0001309056,0.000009714475,0.000462272,0.995104,0.00230526],"study_design_scores_gemma":[0.0001582403,0.00001465401,0.03821642,0.001012751,0.00007716895,0.00003578375,0.0007556235,0.0005802953,0.0001852123,0.0007642966,0.9580981,0.0001013839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008047435,0.00005559876,0.00002999156,0.0001097909,0.00002243965,0.00001742183,0.9986946,0.00006060231,0.0009290404],"genre_scores_gemma":[0.001207363,0.0003556672,0.0004843426,0.000145299,0.0000164071,0.0001590755,0.9928276,0.000115875,0.004688343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0900054,"threshold_uncertainty_score":0.4314373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390967838492346,"score_gpt":0.2282008853816139,"score_spread":0.2042912069966905,"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."}}