{"id":"W2203412194","doi":"","title":"Research Guides: Census / 2011 National Household Survey (NHS): Cite your Sources","year":2014,"lang":"en","type":"libguides","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; American Community Survey; Geography; Economic growth; Socioeconomics; Gerontology; Demography; Medicine; Population; Sociology; Economics","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":[0.004140497,0.001161327,0.001430318,0.008746293,0.001339506,0.002418618,0.002854321,0.001260171,0.3451864],"category_scores_gemma":[0.04943866,0.00145854,0.0009406669,0.01958529,0.0005111383,0.003325447,0.00227211,0.002325909,0.2811205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004456492,"about_ca_system_score_gemma":0.01442059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2253564,"about_ca_topic_score_gemma":0.2590969,"domain_scores_codex":[0.9953279,0.001059612,0.0007941331,0.0004113791,0.002115932,0.0002909849],"domain_scores_gemma":[0.9670652,0.004510861,0.00112655,0.001605366,0.0248106,0.0008814625],"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":[0.000006396707,0.000007072181,0.0001735049,0.0002211271,0.000002292378,0.000004584627,0.000048917,0.00004394537,0.000008250652,0.0004819257,0.9855796,0.0134224],"study_design_scores_gemma":[0.00002749076,0.00000914749,0.004067283,0.0008295208,0.000007055648,0.00002276479,0.0002881399,0.0001172242,0.00005621147,0.001103723,0.9934458,0.00002560901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003417108,0.0006504657,0.003155115,0.002120493,0.0007476169,0.00155492,0.9245261,0.001715914,0.06518758],"genre_scores_gemma":[0.002860881,0.004793463,0.02148321,0.001689609,0.0004143734,0.009317785,0.7953422,0.003779287,0.1603191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7746437,"threshold_uncertainty_score":0.9340121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6346006603437448,"score_gpt":0.4954269592422164,"score_spread":0.1391737011015284,"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."}}