{"id":"W4385199884","doi":"10.2139/ssrn.4519619","title":"Linked Samples and Measurement Error in Historical Us Census Data","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Census; Statistics; Observational error; Geography; Econometrics; Computer science; Mathematics; Sociology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08574445,0.000654221,0.001462533,0.004187061,0.001609712,0.004264055,0.003190984,0.002710152,0.004489868],"category_scores_gemma":[0.479919,0.001278865,0.001299236,0.01086263,0.004257295,0.005877959,0.003706603,0.003323513,0.0006918177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076151,"about_ca_system_score_gemma":0.001606483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009906665,"about_ca_topic_score_gemma":0.006825781,"domain_scores_codex":[0.9169188,0.06270532,0.004230735,0.00809157,0.006827461,0.001226199],"domain_scores_gemma":[0.3859183,0.5505952,0.02853525,0.02848447,0.005596187,0.0008706256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004815111,0.0002264724,0.2685998,0.0005534376,0.001814697,0.000635888,0.002591959,0.05288916,0.000202422,0.565156,0.01126724,0.0955813],"study_design_scores_gemma":[0.0002260112,0.0001574301,0.07816347,0.000670605,0.0007183367,0.0006143554,0.001204567,0.1592064,0.001259629,0.7438049,0.01386723,0.0001070737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3069689,0.008579629,0.662753,0.008554746,0.0008244121,0.0002228774,0.004531269,0.0005311216,0.007034064],"genre_scores_gemma":[0.9341639,0.002181016,0.05099514,0.001122167,0.000604999,0.0004465026,0.004710897,0.0001316823,0.00564372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08574445,"threshold_uncertainty_score":0.4534654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3424473882514277,"score_gpt":0.3778266917295233,"score_spread":0.03537930347809559,"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."}}