{"id":"W3107569093","doi":"10.1108/978-1-83982-688-720201025","title":"Smart Management Systems in Cities and Their Marketing: Case of the Waterloo City in Canada","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Corporate governance; Smart city; Marketing; Romer; Business; Political science; Regional science; Management; Engineering; Geography; 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":[0.0003998427,0.0002993688,0.0002689825,0.001398451,0.01371704,0.005245538,0.001172879,0.001757229,0.007226367],"category_scores_gemma":[0.0008588969,0.0002222555,0.0003699749,0.004322118,0.003962728,0.001147653,0.00184342,0.001330403,0.0004096598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08577601,"about_ca_system_score_gemma":0.03627393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888515,"about_ca_topic_score_gemma":0.99364,"domain_scores_codex":[0.9990678,0.000125177,0.00001567968,0.00006050147,0.0002038133,0.000527024],"domain_scores_gemma":[0.9989718,0.0001713933,0.00006885115,0.00002629633,0.0003300827,0.0004315884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004111549,0.001408758,0.2923778,0.0007936847,0.0001219758,0.07268092,0.2689664,0.01716613,0.004033184,0.1791655,0.06919269,0.09368176],"study_design_scores_gemma":[0.00005524489,0.00009310302,0.1773357,0.0003439306,0.00006241926,0.001433752,0.5654497,0.01060282,0.0007430615,0.003268492,0.2404933,0.0001185403],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111359,0.0009683938,0.0003214964,0.005160796,0.00003891373,0.0001187835,0.000372105,0.00002258034,0.08186107],"genre_scores_gemma":[0.9820264,0.0007738631,0.0003361729,0.0003589904,0.00000863676,0.00001757169,0.0001305633,0.00001157392,0.0163362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08577601,"threshold_uncertainty_score":0.6223514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883125245413748,"score_gpt":0.1700499442507719,"score_spread":0.1412186917966344,"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."}}