{"id":"W7125608318","doi":"10.1109/wsc68292.2025.11339081","title":"Evaluating Third-Party Impacts in Urban Air Mobility Community Integration: A Digital Twin Approach","year":2025,"lang":"","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Air pollution; Field (mathematics); Work (physics); Urban heat island; Climate change","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":[0.00892555,0.00080519,0.0007388143,0.002545635,0.00131396,0.004782001,0.001771908,0.00145621,0.01131194],"category_scores_gemma":[0.03063948,0.0003711297,0.001384431,0.003516521,0.002154724,0.006330991,0.007357299,0.001626962,0.000983529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004095605,"about_ca_system_score_gemma":0.002847984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378183,"about_ca_topic_score_gemma":0.0117806,"domain_scores_codex":[0.9929317,0.003882768,0.0002086888,0.0005730199,0.001755,0.0006487657],"domain_scores_gemma":[0.9829186,0.009913289,0.00142839,0.002240029,0.002779605,0.0007201462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01117091,0.0118372,0.2464156,0.001309348,0.002627262,0.0005232602,0.00317743,0.2483108,0.005198756,0.1468804,0.003394357,0.3191547],"study_design_scores_gemma":[0.001192663,0.01670731,0.1835146,0.0004776531,0.004077928,0.0002573054,0.02020779,0.6370835,0.02090462,0.09591506,0.019419,0.0002425666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454021,0.0001855461,0.01915246,0.0002392685,0.00009601433,0.0006767107,0.0006833718,0.00005917811,0.03350526],"genre_scores_gemma":[0.9900383,0.0001109832,0.006817013,0.00004909544,0.00001543054,0.0003492307,0.0003319422,0.00001985221,0.002268175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378183,"threshold_uncertainty_score":0.04720336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0511965754195363,"score_gpt":0.3282115016132352,"score_spread":0.2770149261936989,"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."}}