{"id":"W2963175204","doi":"10.1007/978-3-030-24513-9_5","title":"Smart Cities Initiatives to Examine and Explore Urban Social Challenges","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Poverty; Key (lock); Smart city; Order (exchange); Population; Economic growth; Political science; Business; Computer science; Sociology; Internet privacy; Computer security; Economics; Internet of Things","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":[0.0007149694,0.0004715203,0.0001740197,0.001560381,0.001749652,0.005020597,0.0006452531,0.001154794,0.01142687],"category_scores_gemma":[0.0006529388,0.0001898805,0.0002202428,0.00366883,0.002646254,0.004733926,0.003298813,0.001876254,0.001380359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004106919,"about_ca_system_score_gemma":0.004269781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153044,"about_ca_topic_score_gemma":0.05269149,"domain_scores_codex":[0.999712,0.00009236376,0.000005091822,0.0000248951,0.0001158607,0.00004974167],"domain_scores_gemma":[0.9996033,0.0001909577,0.00002647023,0.00003780063,0.00006709111,0.00007442992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002483798,0.00001542802,0.0004216799,0.00009237214,0.000003441182,0.00002929577,0.002425657,0.0004066122,0.00009407336,0.825036,0.1220183,0.04945458],"study_design_scores_gemma":[0.000001071486,0.000002649231,0.0005801831,0.0001156709,0.00000179284,0.00002406405,0.003523398,0.00023044,0.00008259267,0.05586554,0.9395697,0.000002889199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006382047,0.01413294,0.007041493,0.01953819,0.001181905,0.00005663511,0.0003367591,0.0001537512,0.9511763],"genre_scores_gemma":[0.2085705,0.05169148,0.02796498,0.006869866,0.001211436,0.0003768181,0.001600879,0.0004183541,0.7012956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01153044,"threshold_uncertainty_score":0.03822666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1787431374022306,"score_gpt":0.3217246508654055,"score_spread":0.1429815134631749,"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."}}