{"id":"W2726883688","doi":"10.25336/p63c7c","title":"The Washington State Census Board and Its Demographic Legacy","year":2017,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Census; State (computer science); American Community Survey; Geography; Demography; Political science; Population; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00381104,0.001204466,0.00111511,0.009738942,0.003227268,0.007359215,0.002067373,0.002249998,0.03244704],"category_scores_gemma":[0.01692215,0.0008075009,0.000592145,0.0212911,0.001869219,0.004095001,0.00145395,0.003583618,0.01824424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02412521,"about_ca_system_score_gemma":0.0688004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7516131,"about_ca_topic_score_gemma":0.8200751,"domain_scores_codex":[0.9964275,0.0003883064,0.0001671993,0.0002155173,0.002530854,0.0002707026],"domain_scores_gemma":[0.9821248,0.001783467,0.0004142009,0.0005561452,0.01432323,0.0007980905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000001253832,0.000001642995,0.00005025458,0.00004715451,0.000001266835,0.000002730852,0.00001850749,0.00001882321,0.000003060994,0.001908484,0.9815612,0.01638555],"study_design_scores_gemma":[6.425989e-7,6.973656e-7,0.0002408304,0.0002240005,0.000002295864,0.000005033728,0.00005006561,0.00001149042,0.000004789782,0.00051028,0.9989465,0.000003480386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0004535335,0.442652,0.001710753,0.224833,0.1272174,0.0001593854,0.01028387,0.0003516726,0.1923383],"genre_scores_gemma":[0.005143211,0.4796195,0.002185197,0.03002214,0.03207817,0.0002229604,0.007844483,0.0004579198,0.4424264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7516131,"threshold_uncertainty_score":0.4996994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095657336012116,"score_gpt":0.3725171318991169,"score_spread":0.2629513982979054,"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."}}