{"id":"W6957896753","doi":"10.6068/dp14ba86d613813","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents, by sex, marital status and age group | Variable: Both sexes, Taxfilers and dependants aged 40 to 44 years | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Marital status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Demographic 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"],"consensus_categories":[],"category_scores_codex":[0.0003609161,0.0006894119,0.0009156945,0.0004266661,0.0002602172,0.0004835296,0.0002445128,0.0003363356,0.0002049576],"category_scores_gemma":[0.00004875464,0.0006963805,4.235353e-7,0.0003303224,0.0003351246,0.0006041067,0.0003555993,0.0005628585,4.193301e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070449,"about_ca_system_score_gemma":0.001186442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977442,"about_ca_topic_score_gemma":0.9896896,"domain_scores_codex":[0.996585,0.0001581714,0.000613282,0.00121956,0.0007011823,0.0007228648],"domain_scores_gemma":[0.9974571,0.0003074004,0.0003776906,0.0007483371,0.00002586509,0.001083638],"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":[0.0001480077,0.00004985888,0.08105516,0.0005924899,0.0004005454,0.0002723849,0.00000799598,0.000001227241,0.000002683562,0.00004664806,0.9154963,0.001926652],"study_design_scores_gemma":[0.001674829,0.0001683854,0.03993322,0.0001152142,0.0008917522,0.0008731114,0.0002443373,0.001161212,7.579242e-9,0.000002035044,0.954197,0.0007388493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008258772,0.006737303,0.00001035159,0.000003054797,0.0001849476,0.0009633034,0.9909731,0.00006408299,0.0002379387],"genre_scores_gemma":[0.006501068,0.002451952,0.0008033128,0.0001306261,0.00006250093,0.00001622916,0.9895604,0.0001528428,0.000321089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04112194,"threshold_uncertainty_score":0.9995487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225583423978395,"score_gpt":0.2311898173606872,"score_spread":0.2189339831209033,"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."}}