{"id":"W6939201960","doi":"10.6068/dp14ba87a2cbb6","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Summary characteristics of Canadian taxfilers | Variable: Percentage of taxfilers with total income of $80,000 or more | 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; Population statistics; Economic statistics; Social statistics; Demographic statistics; Residence; Socioeconomic status","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":[0.002371758,0.002344759,0.00224973,0.007175658,0.003225193,0.004276675,0.004532679,0.001326268,0.1159108],"category_scores_gemma":[0.01792037,0.001597711,0.002132839,0.03164427,0.000580431,0.002334772,0.002410379,0.003074712,0.0601044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05092466,"about_ca_system_score_gemma":0.1307674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946971,"about_ca_topic_score_gemma":0.9925925,"domain_scores_codex":[0.9966983,0.0002777958,0.0003600922,0.0003799383,0.001569592,0.0007142756],"domain_scores_gemma":[0.9716918,0.0008529967,0.000589204,0.0008184122,0.02475451,0.001292999],"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":[0.00002326246,0.000005774509,0.0007477159,0.0002434311,0.00002002281,0.000007787248,0.00002612087,0.0001552298,0.0000100699,0.0004669551,0.9950156,0.003278082],"study_design_scores_gemma":[0.0001429727,0.00001220874,0.01743889,0.0008780354,0.00006850522,0.00003433364,0.000420929,0.0007107378,0.0001507271,0.0009095903,0.9791384,0.0000946432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007439965,0.0001018335,0.00008802654,0.0002263734,0.00006047166,0.00003856337,0.9970084,0.0001546088,0.002247286],"genre_scores_gemma":[0.001571332,0.0006705836,0.001390433,0.0003099368,0.00003218205,0.0002843174,0.9877959,0.0002814741,0.007663799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1159108,"threshold_uncertainty_score":0.3877603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837553050194285,"score_gpt":0.235148510539179,"score_spread":0.2167729800372362,"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."}}