{"id":"W6887707991","doi":"10.17605/osf.io/a3gtd","title":"Visualizing demographic evolution using geographically inconsistent census data","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010603,0.0003273929,0.0002152651,0.005522088,0.0005866052,0.001693793,0.0004358864,0.0005083774,0.004185015],"category_scores_gemma":[0.005751577,0.000192647,0.0003680556,0.004438337,0.0003227917,0.00124298,0.00148282,0.0006978721,0.0005063687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008645744,"about_ca_system_score_gemma":0.0008684972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03782355,"about_ca_topic_score_gemma":0.07122891,"domain_scores_codex":[0.9996763,0.0001155957,0.00001996107,0.00005591441,0.0001007512,0.00003156902],"domain_scores_gemma":[0.9973508,0.001369188,0.0003408053,0.0002079746,0.000508218,0.0002230376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007579307,0.0003516885,0.2437308,0.001026061,0.000366604,0.002324338,0.02451375,0.199231,0.01735007,0.05729615,0.09307485,0.3599768],"study_design_scores_gemma":[0.00009119758,0.00008105017,0.161917,0.0004124299,0.0001156562,0.0005259748,0.01222291,0.6541891,0.008144911,0.03881958,0.1232926,0.0001877049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232816,0.001067027,0.1908655,0.005895763,0.0002917934,0.0002443538,0.04488796,0.008192098,0.02527391],"genre_scores_gemma":[0.8545595,0.0004737405,0.1319641,0.0001264596,0.00005174842,0.0001041183,0.009674901,0.0005235482,0.002521937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03782355,"threshold_uncertainty_score":0.07520682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095143058021046,"score_gpt":0.4156047375414365,"score_spread":0.3060904317393319,"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."}}