{"id":"W6920052333","doi":"10.6068/dp14ba8901d3378","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with income by total income, sex and age group | Variable: 55 to 64 years, Persons with income of $10,000 and over, Both sexes | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Economic statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002362409,0.002361533,0.002443876,0.00661361,0.003130894,0.004365813,0.005100723,0.001365077,0.1029757],"category_scores_gemma":[0.01797011,0.001708964,0.002155176,0.03073367,0.0005812371,0.002301839,0.002540295,0.003204399,0.05693739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04797687,"about_ca_system_score_gemma":0.1184147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947594,"about_ca_topic_score_gemma":0.9930114,"domain_scores_codex":[0.9968035,0.0002792361,0.0003784018,0.0003883302,0.001447015,0.0007035833],"domain_scores_gemma":[0.9724776,0.0008587556,0.0006057389,0.0008138195,0.02396019,0.001283984],"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":[0.00002358961,0.00000581638,0.0007740755,0.0002367396,0.00002090568,0.000007278863,0.00002769595,0.0001466238,0.000008880931,0.0004046115,0.9956362,0.002707631],"study_design_scores_gemma":[0.0001913447,0.00001326522,0.01902108,0.0009532786,0.000077121,0.00003574583,0.0004747627,0.0008672625,0.0001708793,0.001001526,0.977092,0.0001018461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006848775,0.00007403765,0.00006813114,0.0001787629,0.00004913755,0.00003095162,0.9978223,0.0001250864,0.001583137],"genre_scores_gemma":[0.001188355,0.0004344721,0.000973962,0.0002373354,0.00002427867,0.000237849,0.9913077,0.0002067726,0.005389366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8970243,"threshold_uncertainty_score":0.3480982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110023140751849,"score_gpt":0.2268995825007565,"score_spread":0.2158972684255716,"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."}}