{"id":"W4285065921","doi":"10.1007/978-981-19-1701-1_1","title":"Introduction to Smart Cities in Asia: Regulations, Problems, and Development","year":2022,"lang":"en","type":"book-chapter","venue":"Springer briefs in geography","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Surprise; Scholarship; Smart city; Population; Political science; Economic growth; Sociology; Computer security; Computer science; Economics; Internet of Things","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003558648,0.0009091565,0.0004652665,0.001142303,0.001706987,0.004285393,0.0005240561,0.001076111,0.0183461],"category_scores_gemma":[0.0005036307,0.0003478912,0.0004362334,0.002623174,0.001745262,0.003032133,0.001782747,0.003368386,0.006224716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284414,"about_ca_system_score_gemma":0.003240853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00515944,"about_ca_topic_score_gemma":0.007523915,"domain_scores_codex":[0.9997091,0.00005587604,0.00001715819,0.00004432409,0.0001291269,0.00004439838],"domain_scores_gemma":[0.9997641,0.00008272201,0.00002267891,0.00001740271,0.00007604294,0.0000370975],"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":[0.00001320776,0.00006422826,0.0004468209,0.0005612395,0.000006404216,0.000313919,0.004278264,0.001098528,0.0003987751,0.3323163,0.5460379,0.1144644],"study_design_scores_gemma":[8.577197e-7,0.00000867302,0.0002749825,0.0002683634,0.000001748812,0.00008792114,0.0005363114,0.00006616318,0.00005036239,0.007967814,0.9907326,0.000004297348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002547274,0.08448792,0.003396331,0.01768418,0.005577267,0.0001045853,0.0002621251,0.0001971418,0.8857432],"genre_scores_gemma":[0.02756616,0.1599611,0.003931618,0.007994066,0.0030184,0.0001727486,0.0005174277,0.0002271168,0.7966114],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0183461,"threshold_uncertainty_score":0.06137383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009964607114894929,"score_gpt":0.1790073093340006,"score_spread":0.1690427022191057,"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."}}