{"id":"W2735754558","doi":"10.1109/scsp.2017.7973837","title":"The Indian perspective of smart cities","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Prosperity; Sustainability; Context (archaeology); Corporate governance; Business; Productivity; Smart environment; Urban planning; City environment; Economic growth; Regional science; Environmental planning; Geography; Internet of Things; Engineering; Computer science; Computer security; Civil engineering; Economics","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":[0.0007193465,0.0005353076,0.0002703387,0.002385053,0.008928178,0.01012942,0.0008093054,0.001408494,0.006006732],"category_scores_gemma":[0.001195449,0.0002257801,0.0005210817,0.005456759,0.01086678,0.004846868,0.005111971,0.00521388,0.000931151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123797,"about_ca_system_score_gemma":0.007790924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07930931,"about_ca_topic_score_gemma":0.07669037,"domain_scores_codex":[0.9985465,0.0004753308,0.00005266719,0.0001736525,0.0002756788,0.000476179],"domain_scores_gemma":[0.9991109,0.000265174,0.00009544624,0.00009034756,0.0002291157,0.0002089764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001065889,0.00001553474,0.0009672267,0.00008789167,0.000006327012,0.0002973856,0.01538127,0.0003708473,0.000108924,0.9617976,0.01081765,0.01013872],"study_design_scores_gemma":[0.000007789031,0.00003489068,0.00707853,0.0003383859,0.00003758716,0.0008397225,0.05132741,0.0008862981,0.000276116,0.1240104,0.8150899,0.00007294749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0442756,0.008805774,0.002347297,0.04963287,0.0007754677,0.00003233939,0.0002700598,0.00008078655,0.8937799],"genre_scores_gemma":[0.9201301,0.01834888,0.001869764,0.009489365,0.000567348,0.00006167417,0.0001989367,0.000067233,0.04926673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07930931,"threshold_uncertainty_score":0.1576954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200193327387758,"score_gpt":0.217254528658993,"score_spread":0.2052525953851154,"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."}}