{"id":"W4405641390","doi":"10.2139/ssrn.5065790","title":"Profiles of Smart Cities in Canada: Between Essence and Challenges","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Regional 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":[0.0006901628,0.0002435624,0.0003193872,0.004186341,0.005764836,0.005554727,0.001281103,0.0009009436,0.006325528],"category_scores_gemma":[0.00322715,0.0002486283,0.0002449308,0.0153636,0.001331316,0.002109723,0.002706494,0.0009385523,0.0007544305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04714384,"about_ca_system_score_gemma":0.05768596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943176,"about_ca_topic_score_gemma":0.9975501,"domain_scores_codex":[0.9988332,0.0001060809,0.00005011223,0.0001205659,0.0003127132,0.0005773631],"domain_scores_gemma":[0.9960514,0.0002363624,0.0005269648,0.0001075906,0.001775632,0.001302138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000234046,0.00008315819,0.7762278,0.0001716331,0.00006093366,0.000533393,0.05603193,0.002091838,0.0006269416,0.03295157,0.05778356,0.07320313],"study_design_scores_gemma":[0.000007332046,0.00002770552,0.7156838,0.0002114545,0.00002002999,0.0001358442,0.1584833,0.003028546,0.0003102769,0.002822532,0.1191625,0.0001065925],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347951,0.001131793,0.0008206986,0.008462978,0.00005420062,0.0001069881,0.01566273,0.00007126168,0.03889424],"genre_scores_gemma":[0.9868438,0.0006572513,0.0004344222,0.0003161163,0.00001127192,0.00002237022,0.002761898,0.00002841687,0.008924419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04714384,"threshold_uncertainty_score":0.3420541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738105768789616,"score_gpt":0.2220698536110937,"score_spread":0.1946887959231975,"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."}}