{"id":"W2001180908","doi":"10.3138/carto.45.2.113","title":"WALL-E and the “Many, Many” Maps: Toward User-Centred Ontologies for <i>The National Map</i>","year":2010,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Semantic Web; World Wide Web; Computer science; The Internet; Social Semantic Web; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006903482,0.0004526372,0.000361266,0.00183419,0.003581061,0.01284023,0.001105455,0.002912853,0.005131844],"category_scores_gemma":[0.01104389,0.0006139044,0.0006086114,0.002207586,0.01294562,0.02547229,0.006929218,0.004202489,0.001280525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942523,"about_ca_system_score_gemma":0.002309875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00941266,"about_ca_topic_score_gemma":0.01183206,"domain_scores_codex":[0.9963581,0.002502193,0.0001542387,0.0002823187,0.000515555,0.0001874296],"domain_scores_gemma":[0.9958513,0.002130363,0.0001863849,0.00100046,0.0005382422,0.0002932957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001968609,0.00001722037,0.0002909124,0.00004637765,0.000005235893,0.00009066043,0.01078578,0.0004812621,0.0004709336,0.9450202,0.01664151,0.02613019],"study_design_scores_gemma":[0.0000107068,0.00001366521,0.0004158587,0.0001880659,0.00001249954,0.0001961268,0.01126722,0.006666544,0.002205577,0.419118,0.5598685,0.00003728439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02250075,0.00201866,0.683075,0.04410537,0.001111127,0.0001159726,0.0003941271,0.001703364,0.2449757],"genre_scores_gemma":[0.4106117,0.002686623,0.5239497,0.006677602,0.0003608659,0.0002551988,0.0008151301,0.001195946,0.0534472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01284023,"threshold_uncertainty_score":0.03650957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608998025289727,"score_gpt":0.3157657622362492,"score_spread":0.2896757819833519,"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."}}