{"id":"W4391884123","doi":"10.3390/urbansci8010016","title":"Creativity and Innovation in Civic Spaces Supported by Cognitive Flexibility When Learning with AI Chatbots in Smart Cities","year":2024,"lang":"en","type":"article","venue":"Urban Science","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Creativity; Flexibility (engineering); Chatbot; Smart city; Generative grammar; Knowledge management; Computer science; Computational creativity; Sociology; Psychology; Artificial intelligence; Management; World Wide Web","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":[0.007540251,0.0003405574,0.0003077818,0.001324438,0.003674448,0.007841812,0.00112554,0.001372069,0.002820249],"category_scores_gemma":[0.01292992,0.0002760623,0.0003866007,0.0009330151,0.009956826,0.007113597,0.007346473,0.001584086,0.0003489148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296607,"about_ca_system_score_gemma":0.00194849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146125,"about_ca_topic_score_gemma":0.002328205,"domain_scores_codex":[0.9942119,0.00450832,0.0001249958,0.0003580865,0.000401852,0.0003947929],"domain_scores_gemma":[0.9856842,0.01145576,0.0007642468,0.0009181419,0.0003819008,0.0007957458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005080702,0.0005863002,0.02531373,0.001001338,0.00005119927,0.002115165,0.669803,0.008361436,0.008733497,0.1590372,0.001856275,0.1226328],"study_design_scores_gemma":[0.0002246331,0.0009124326,0.02694953,0.001023786,0.0001128702,0.001514261,0.6350434,0.03000359,0.0103155,0.1866096,0.1070806,0.0002098285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258956,0.0003632755,0.03100269,0.001355376,0.00003769642,0.0001536732,0.00002313083,0.0001420601,0.04102636],"genre_scores_gemma":[0.99359,0.00007850226,0.004877962,0.00008580674,0.000005770681,0.00008098454,0.000009313083,0.00001185902,0.001259783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007841812,"threshold_uncertainty_score":0.03987718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679605582952477,"score_gpt":0.247783152762705,"score_spread":0.2309870969331803,"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."}}