{"id":"W2071526728","doi":"10.1109/hicss.2013.102","title":"Aspirations and Realizations: The Smart City of Seattle","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Smart city; Government (linguistics); Space (punctuation); Local government; Public administration; Urban space; E-Government; Public relations; Architectural engineering; Business; Regional science; Computer science; Political science; Engineering; Geography; Computer security; Internet of Things; World Wide Web; Information and Communications Technology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0000171116,0.00002486482,0.00003026813,0.00001527368,0.00002931647,0.00001187121,0.0000361839,0.00002081238,0.000190111],"category_scores_gemma":[0.00001773611,0.00001565195,0.00000694959,0.00005778397,0.00003922651,0.00004775231,0.00001548684,0.00002318563,0.000006793631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002594864,"about_ca_system_score_gemma":0.000001480454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00019391,"about_ca_topic_score_gemma":0.00008001414,"domain_scores_codex":[0.9998602,0.000001871141,0.00005043897,0.00002403527,0.00002312527,0.00004032524],"domain_scores_gemma":[0.999851,0.00002796363,0.000004412926,0.0000932426,0.00001708876,0.000006248719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[6.875268e-7,0.00003071197,0.183217,0.0001042321,0.0001209822,3.082712e-7,0.0006971486,0.004113641,0.003948997,0.5838053,0.1769357,0.04702532],"study_design_scores_gemma":[0.0003996484,0.00009364133,0.6672099,0.00003541114,0.00003776882,0.000009478003,0.004046603,0.1080718,0.03888412,0.05722212,0.1235691,0.0004203215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065105,0.0003164082,0.01319765,0.00114751,0.00008512157,0.0001728272,0.000004824287,0.0004570311,0.07810809],"genre_scores_gemma":[0.9989874,0.00007691657,0.0005538818,0.00002695874,0.000006082589,0.00001926803,0.000001207103,0.000002956071,0.0003253762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5265832,"threshold_uncertainty_score":0.2081583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175538817048739,"score_gpt":0.1957909485562563,"score_spread":0.174035560385769,"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."}}