{"id":"W4406615370","doi":"10.1016/j.resglo.2025.100271","title":"Towards inclusive and sustainable strategies in smart cities: A comparative analysis of Zurich, Oslo, and Copenhagen","year":2025,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regent College","funders":"","keywords":"Regional science; Geography; Political science; Sociology; Environmental planning; Economic growth; Economics","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":[0.005568161,0.0004490671,0.0007818108,0.008084368,0.00205062,0.005484835,0.0007798107,0.0006763586,0.003170155],"category_scores_gemma":[0.007228937,0.0004927421,0.0008460766,0.01028192,0.003632302,0.004374849,0.004384859,0.0005886971,0.0001527018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01640425,"about_ca_system_score_gemma":0.02004776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.133812,"about_ca_topic_score_gemma":0.3143917,"domain_scores_codex":[0.9958467,0.001201045,0.0005386638,0.0004164755,0.0009461818,0.001051086],"domain_scores_gemma":[0.995453,0.002368468,0.0009729326,0.0001349738,0.0005681851,0.0005024191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002163601,0.000372368,0.3258046,0.02976913,0.002488673,0.004287929,0.3315943,0.00496667,0.002517425,0.1156151,0.008376429,0.1720438],"study_design_scores_gemma":[0.0001449405,0.0003897423,0.4252808,0.009221859,0.001601839,0.000567505,0.4634725,0.0005189137,0.0009105986,0.002645289,0.09508591,0.0001600424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422882,0.03792195,0.0006621442,0.001312335,0.00009031595,0.0002108166,0.001103762,0.00001359243,0.016397],"genre_scores_gemma":[0.9897315,0.008405871,0.0004036355,0.0001638524,0.000008897461,0.00009296459,0.0003718529,0.00001236413,0.0008089935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133812,"threshold_uncertainty_score":0.2660661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287900744100851,"score_gpt":0.3580737669445493,"score_spread":0.3292836925344643,"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."}}