{"id":"W1980943237","doi":"10.3138/h066-3346-r941-6382","title":"GIS and Geographic Governance: Reconstructing the Choropleth Map","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Census and Population Estimation","field":"Mathematics","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Politics; Geography; Regional science; Government (linguistics); Geographic information system; Rationality; Population; Space (punctuation); Governmentality; Cartography; Economic geography; Sociology; Political science; Demography; Economics; Law; Computer science; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467749,0.0002181021,0.0001787908,0.0003752405,0.001267887,0.0006926475,0.0003305173,0.0001220988,0.0000267933],"category_scores_gemma":[0.0005298888,0.000140122,0.0001880929,0.0004057125,0.0002869622,0.001154718,0.00007625701,0.0003031268,0.000001865641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003837301,"about_ca_system_score_gemma":0.00005540335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001097072,"about_ca_topic_score_gemma":0.0001122881,"domain_scores_codex":[0.9981145,0.00007103289,0.0007890729,0.0001568084,0.0006182405,0.0002503532],"domain_scores_gemma":[0.9977113,0.0003288317,0.0008028859,0.0001890082,0.0008705324,0.00009741127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001181102,0.00004135308,0.04317923,0.00008593118,0.0002803811,0.000001147455,0.002840911,0.0005059401,0.00003065937,0.9162878,0.001247962,0.03538059],"study_design_scores_gemma":[0.00471191,0.0002401826,0.1203152,0.0003855031,0.000321365,0.001353613,0.002934259,0.01252893,0.0000928486,0.7169814,0.1394363,0.0006985261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978091,0.0008819047,0.07281766,0.02327811,0.003262228,0.001319373,0.0001219847,0.0001489835,0.0003606729],"genre_scores_gemma":[0.9942057,0.001820587,0.001995109,0.001389671,0.0003549496,0.00006018652,0.0001298956,0.0000188681,0.00002509152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1993064,"threshold_uncertainty_score":0.9751689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133029229008991,"score_gpt":0.3113996872868119,"score_spread":0.290069394996722,"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."}}