{"id":"W7016009670","doi":"","title":"Visualizing demographic evolution using geographically inconsistent census data","year":2018,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Demographic analysis; Consistency (knowledge bases); Analytics; Population statistics; Visualization; American Community Survey","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","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.004164074,0.0006149869,0.0006762921,0.001142244,0.0003190073,0.0005985149,0.007186556,0.0006339521,0.1058165],"category_scores_gemma":[0.00149151,0.000688933,0.0002595543,0.001391572,0.000432195,0.0005761682,0.01076066,0.00046408,0.2735086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860497,"about_ca_system_score_gemma":0.0003676854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007407637,"about_ca_topic_score_gemma":0.0003110873,"domain_scores_codex":[0.9924567,0.0008219972,0.0008888546,0.004193448,0.0009449513,0.0006940571],"domain_scores_gemma":[0.9854972,0.0001775175,0.0008799402,0.01280214,0.0002575121,0.0003856641],"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":[0.00001674739,0.000552428,0.01327256,0.00030647,0.0007084098,0.00005743062,0.0001258078,0.0001012105,0.0003190415,0.03680996,0.9408044,0.00692548],"study_design_scores_gemma":[0.0004089848,0.000001498372,0.0007651861,0.000524307,0.0001862889,0.00005867028,0.0000267135,0.101502,0.00003704751,0.002087154,0.8935647,0.0008374225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007825648,0.0000128308,0.4266601,0.00009226552,0.00112574,0.0006095077,0.0001952941,0.0007560798,0.5704699],"genre_scores_gemma":[0.002412162,0.0005194905,0.06498814,0.0004441644,0.0006048543,0.00004035751,0.001040982,0.0005211162,0.9294288],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.361672,"threshold_uncertainty_score":0.9995562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04342359909440731,"score_gpt":0.3180529139631115,"score_spread":0.2746293148687042,"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."}}