{"id":"W2997811202","doi":"","title":"Under the hood: A look at techno-centric smart city development","year":2019,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Smart city; Human settlement; Brownfield; Sustainable development; Business; Urban planning; Environmental planning; Engineering; Civil engineering; Internet of Things; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005173232,0.0005529834,0.0003530037,0.003004826,0.008657959,0.02123348,0.001391389,0.006254389,0.009893289],"category_scores_gemma":[0.004375248,0.0004821465,0.0007544319,0.005960911,0.01680771,0.02700846,0.009816536,0.008593355,0.00127542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01326718,"about_ca_system_score_gemma":0.01151363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01444973,"about_ca_topic_score_gemma":0.02044999,"domain_scores_codex":[0.9954377,0.001701439,0.0001137876,0.0003545799,0.001277354,0.001115253],"domain_scores_gemma":[0.9967139,0.001114655,0.0002403974,0.0003477403,0.0007150743,0.000868366],"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":[0.00001808577,0.0001014443,0.002087218,0.0002088114,0.000008543028,0.0004793706,0.01304178,0.0004452199,0.0003228846,0.8922015,0.04839476,0.04269036],"study_design_scores_gemma":[0.000006167609,0.00004471975,0.001404905,0.0004265846,0.000005618768,0.0003195731,0.025537,0.0005293887,0.0004011918,0.07148023,0.8998215,0.00002324468],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03762097,0.03920004,0.01733562,0.3436244,0.003701534,0.0001575327,0.0001971961,0.0003073981,0.5578554],"genre_scores_gemma":[0.6988586,0.05877383,0.01873658,0.08398981,0.001665364,0.0002697513,0.0003340111,0.0007027465,0.1366692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02123348,"threshold_uncertainty_score":0.09626055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006829620053717454,"score_gpt":0.1621761236620002,"score_spread":0.1553465036082828,"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."}}