{"id":"W4392166588","doi":"10.1080/21622671.2024.2317211","title":"Island platforms and the hyper-terrestrialisation of Singapore’s smart city-state","year":2024,"lang":"en","type":"article","venue":"Territory Politics Governance","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"State (computer science); Smart city; City-state; Architectural engineering; Telecommunications; Geography; History; Economic geography; Computer science; Computer security; Engineering; Internet of Things; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578045,0.0001693432,0.0001757268,0.0005511895,0.003856166,0.005983242,0.0003743828,0.0007702532,0.004763494],"category_scores_gemma":[0.001632217,0.000168369,0.000181897,0.0008066319,0.01460511,0.004411099,0.007245406,0.001330398,0.000334959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003464526,"about_ca_system_score_gemma":0.002540709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009524941,"about_ca_topic_score_gemma":0.01865967,"domain_scores_codex":[0.9986259,0.0008724388,0.00005256008,0.0001219965,0.0001660795,0.0001610501],"domain_scores_gemma":[0.9990276,0.0003781606,0.0001424679,0.0001951704,0.0001028501,0.00015377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001215849,0.000006445389,0.003920353,0.00003900443,0.000006491526,0.0004849129,0.07956362,0.0004895825,0.0003823654,0.9079188,0.0009316441,0.00624457],"study_design_scores_gemma":[0.00002254834,0.0001200782,0.02177794,0.0003207213,0.00003293291,0.000980081,0.2243186,0.005129281,0.001514632,0.3021291,0.4435782,0.00007593269],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5557382,0.0007023162,0.01193596,0.008995968,0.00006391244,0.00003422798,0.00008395037,0.00004821554,0.4223972],"genre_scores_gemma":[0.9952803,0.0001218903,0.00039306,0.00009594801,0.00000393672,0.00001293455,0.00001314702,0.000008836073,0.004069985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009524941,"threshold_uncertainty_score":0.02513695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023877780409439,"score_gpt":0.2775212094749825,"score_spread":0.2572824316708882,"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."}}