{"id":"W4285391878","doi":"10.5430/ijba.v13n4p10","title":"Smart Cities and Urban Mobility for Innovation and Sustainability","year":2022,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Sharing economy; Smart city; Public transport; Public domain; Circular economy; Consumption (sociology); Business; Business model; Thematic analysis; The Internet; Marketing; Cloud computing; Environmental economics; Qualitative research; Sociology; Economics; Computer science; Internet of Things; Internet privacy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002566591,0.00006237021,0.0000917103,0.000179988,0.00007206163,0.00006332047,0.00009131093,0.00002604935,0.000013506],"category_scores_gemma":[0.0002276856,0.00006399117,0.00001730894,0.0001381753,0.00005585289,0.0002459472,0.00003946949,0.00008935823,2.543953e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127629,"about_ca_system_score_gemma":0.00007788628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004150028,"about_ca_topic_score_gemma":0.000004433416,"domain_scores_codex":[0.9994056,0.000009188439,0.0002890837,0.00006433904,0.0001702008,0.00006153684],"domain_scores_gemma":[0.998989,0.00006472517,0.0001087395,0.00004695194,0.0007785726,0.00001197824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002007831,0.0006193043,0.4152637,0.001246946,0.0007698666,0.0001102052,0.002605174,0.02601999,0.006299449,0.3784302,0.01090809,0.1557193],"study_design_scores_gemma":[0.003262175,0.001173571,0.6845393,0.00006611794,0.00007897359,0.0009556786,0.01233951,0.02979543,0.005886051,0.182378,0.07890645,0.0006187095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852071,0.0001663866,0.0120065,0.001723362,0.0006538201,0.0001117632,0.00003021425,0.00003469151,0.00006610265],"genre_scores_gemma":[0.9993836,0.00003504376,0.0003683701,0.00002780095,0.0001118512,0.00002574575,0.00001898053,0.000006398033,0.00002216736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2692756,"threshold_uncertainty_score":0.2609484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374953834029899,"score_gpt":0.2503616789362311,"score_spread":0.2366121405959321,"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."}}