{"id":"W6957651070","doi":"10.6068/dp14ba880deea46","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: 0 to 24 years, Persons with income of $200,000 and over, Males | 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":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Residence; Population statistics; Economic 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":[0.0001711311,0.0005198693,0.0006443471,0.0002860595,0.0001559081,0.0001667302,0.0002190429,0.0002267406,0.0000908603],"category_scores_gemma":[0.00001217087,0.0004795812,2.122649e-7,0.0002432064,0.0001989208,0.0002801162,0.0002145173,0.0003695812,1.938768e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007075319,"about_ca_system_score_gemma":0.0005295596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914595,"about_ca_topic_score_gemma":0.9847127,"domain_scores_codex":[0.9979157,0.000108648,0.0004214277,0.0006792297,0.0005073148,0.0003676639],"domain_scores_gemma":[0.998561,0.0003009344,0.0002279939,0.0004675888,0.00002548105,0.0004169656],"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":[0.00008698575,0.00001697211,0.0638062,0.0006604292,0.0003305137,0.00006902347,0.00001369582,0.0003061878,0.000001761179,0.00009906772,0.9343873,0.000221864],"study_design_scores_gemma":[0.001612821,0.0003397509,0.08110315,0.0001898089,0.0007025765,0.0007277519,0.0001721938,0.02562335,1.34833e-8,0.000005548667,0.8883727,0.001150306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002118454,0.003285876,0.0001608896,0.000001068462,0.00008010455,0.0005852733,0.9936456,0.0000517247,0.00007099332],"genre_scores_gemma":[0.01577284,0.0005272359,0.001982043,0.00002323797,0.00003625722,0.00001539286,0.9814133,0.0001226079,0.0001070918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04601457,"threshold_uncertainty_score":0.9997656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008718087459405078,"score_gpt":0.2037618335288132,"score_spread":0.1950437460694081,"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."}}