{"id":"W4405994835","doi":"10.38027/smart-v1n1-3","title":"Human-Centric Smart Cities for Inclusive and Ethical Urban Development","year":2024,"lang":"en","type":"article","venue":"Smart Design Policies","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Transparency (behavior); Vision; Adaptability; Equity (law); Sustainability; Corporate governance; Sustainable development; Political science; Business; Engineering ethics; Environmental planning; Sociology; Engineering; Internet of Things; Computer science; Geography; Management; Economics; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002235304,0.0002310889,0.0002275329,0.0002967167,0.0002747614,0.0001731634,0.0001546772,0.0002731392,0.00001892014],"category_scores_gemma":[0.00005995815,0.0002116402,0.00005635714,0.0002120091,0.0001812767,0.00007083543,0.0001212749,0.0003099081,0.00001893573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215756,"about_ca_system_score_gemma":0.00005634666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003546001,"about_ca_topic_score_gemma":0.00002549614,"domain_scores_codex":[0.9989508,0.00001878738,0.0002480091,0.0002036206,0.0001445839,0.0004342436],"domain_scores_gemma":[0.9994514,0.0002851227,0.00001389913,0.0001537639,0.00003551358,0.00006032935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002628549,0.0000286539,0.002275584,0.001968664,0.0006755543,0.00004988851,0.02413047,0.0008231474,0.00534728,0.3710288,0.5723354,0.02131037],"study_design_scores_gemma":[0.0005844462,0.0002358338,0.004359178,0.0003366387,0.00009120636,0.00005034435,0.003342925,0.008635006,0.04593847,0.03055096,0.9048169,0.001058051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7692403,0.03351983,0.1571148,0.007894364,0.003552012,0.002722678,0.0001447302,0.01167732,0.01413401],"genre_scores_gemma":[0.9938623,0.0001877099,0.004273684,0.0002654185,0.0002094403,0.0002324092,0.00001093931,0.00006074237,0.0008973614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3404778,"threshold_uncertainty_score":0.8630435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769610610671518,"score_gpt":0.265397400826121,"score_spread":0.2377012947194058,"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."}}