{"id":"W4367838518","doi":"10.1109/sm57895.2023.10112562","title":"Smart Mobility for Sustainable Development Goals: Enablers and Barriers","year":2023,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Enabling; Sustainability; Sustainable development; Key (lock); Reliability (semiconductor); Computer science; Smart city; Business; Computer security; Telecommunications; Risk analysis (engineering); 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":[0.006222592,0.0009177781,0.0006359224,0.001118302,0.00301598,0.009670846,0.001384449,0.00441125,0.004366027],"category_scores_gemma":[0.00718781,0.0002981386,0.0004860429,0.001163822,0.007944632,0.01385122,0.009778921,0.006505586,0.0009212387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003757616,"about_ca_system_score_gemma":0.008912677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004888121,"about_ca_topic_score_gemma":0.00505432,"domain_scores_codex":[0.9935486,0.002010494,0.0003577567,0.0004927849,0.00249349,0.00109685],"domain_scores_gemma":[0.9961914,0.001723651,0.0004227256,0.0002723078,0.0009069546,0.0004829402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001012005,0.00003271515,0.0005174729,0.0003680412,0.000006662802,0.00008377754,0.001455,0.0007912795,0.0002832096,0.9643317,0.01151762,0.02060232],"study_design_scores_gemma":[0.000006592305,0.00005836492,0.001130087,0.002062555,0.00001423295,0.0002619296,0.008254556,0.001359602,0.0005665142,0.5267168,0.4595197,0.00004904934],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03347941,0.05174739,0.05434188,0.416185,0.003611894,0.000366351,0.0005043604,0.0002737349,0.43949],"genre_scores_gemma":[0.8009651,0.07047024,0.04418686,0.03573209,0.001800938,0.0009117977,0.0004890985,0.0001745082,0.04526951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009670846,"threshold_uncertainty_score":0.03290862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360754882652056,"score_gpt":0.2323183035561624,"score_spread":0.2187107547296419,"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."}}