{"id":"W1539891402","doi":"","title":"Research Guides: Census / 2011 National Household Survey (NHS): Home","year":2014,"lang":"en","type":"libguides","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Government (linguistics); Geospatial analysis; American Community Survey; Geography; Survey data collection; Data science; Business; Environmental health; Cartography; Medicine; Statistics; Computer science; Population","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":[0.003000532,0.000969952,0.001172643,0.006032799,0.001472572,0.001998031,0.002027242,0.0007632505,0.298738],"category_scores_gemma":[0.01951864,0.001180936,0.0006288694,0.01419299,0.0004592407,0.00305771,0.001462696,0.001796641,0.1961955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002854526,"about_ca_system_score_gemma":0.007712178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048764,"about_ca_topic_score_gemma":0.1581737,"domain_scores_codex":[0.9972035,0.0007628114,0.0005131449,0.000252346,0.001096487,0.0001717553],"domain_scores_gemma":[0.9842864,0.002417182,0.0006779622,0.0007871808,0.01129356,0.0005377094],"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":[0.00001059734,0.0000168945,0.0003166771,0.0002640847,0.000001758725,0.000006894841,0.0001435179,0.00004058112,0.00001406985,0.0005295099,0.9823956,0.0162599],"study_design_scores_gemma":[0.00002906819,0.00001931455,0.007984676,0.0006237737,0.000005973494,0.00003677471,0.0009515596,0.00007674037,0.00006451503,0.0008954959,0.9892877,0.00002433835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001386152,0.0009319201,0.003060326,0.001880351,0.0007369901,0.003220147,0.8916983,0.001746445,0.09533936],"genre_scores_gemma":[0.005060772,0.004870424,0.01638663,0.001430727,0.0003136238,0.0158177,0.7678624,0.001843192,0.1864145],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8951236,"threshold_uncertainty_score":0.9993783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2223734256136931,"score_gpt":0.4136316599868102,"score_spread":0.1912582343731171,"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."}}