{"id":"W4206801482","doi":"10.1080/17508975.2011.586673","title":"From intelligent to smart cities","year":2011,"lang":"en","type":"article","venue":"Intelligent Buildings International","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; World class; Class (philosophy); Tone (literature); Architectural engineering; Engineering; Computer security; Computer science; Internet of Things; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008118596,0.0002294661,0.0001732959,0.0003103915,0.00004184039,0.00007589654,0.000761051,0.0001106146,0.003639049],"category_scores_gemma":[0.00007785681,0.0002329493,0.0001117756,0.000144807,0.0000741259,0.0001531357,0.0002149829,0.0001974616,0.0007663444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813452,"about_ca_system_score_gemma":0.000008593352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006545823,"about_ca_topic_score_gemma":0.00005120342,"domain_scores_codex":[0.9987823,0.000005702078,0.0003603771,0.0002722436,0.0002808656,0.0002985404],"domain_scores_gemma":[0.9994404,0.00005819146,0.000035281,0.0002692196,0.00009759394,0.00009932953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002692435,0.0003829104,0.07689011,0.00006987141,0.002389146,0.0001688906,0.025699,0.006758022,0.01353006,0.2741465,0.2021315,0.3975648],"study_design_scores_gemma":[0.0001139838,0.00008015226,0.002266133,0.0001062421,0.00001982291,0.00001307897,0.002920057,0.002547955,0.4897676,0.02873371,0.4728802,0.0005511382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.811958,0.0002699604,0.1233174,0.0003592331,0.006208002,0.0001969622,0.00008718274,0.001378709,0.05622459],"genre_scores_gemma":[0.9871743,0.0002383286,0.01107162,0.0002807515,0.0003884571,0.0000630462,0.00002474092,0.00004741669,0.0007113913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4762375,"threshold_uncertainty_score":0.9972718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330233297117811,"score_gpt":0.2378127283100821,"score_spread":0.204789398598301,"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."}}