{"id":"W4285802675","doi":"10.1155/2022/7293909","title":"Impact of New Mobility Solutions on Travel Behaviour and Its Incorporation into Travel Demand Models","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personal mobility; Context (archaeology); Transport engineering; Electrification; Computer science; Travel behavior; Investment (military); Software deployment; Operations research; Risk analysis (engineering); Business; Engineering; Telecommunications","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":[0.000246981,0.0001399436,0.0002509996,0.000265924,0.0001175956,0.000007102581,0.00008027272,0.00004764567,0.00004482873],"category_scores_gemma":[0.000008123718,0.0001443332,0.0001423502,0.0003687927,0.00002154897,0.0004546451,0.000001163159,0.000283975,2.233736e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491196,"about_ca_system_score_gemma":0.0001456217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003448611,"about_ca_topic_score_gemma":0.000128625,"domain_scores_codex":[0.9986412,0.00002230958,0.0007802914,0.0001175781,0.0003116309,0.0001270059],"domain_scores_gemma":[0.9992655,0.0000319612,0.0002856405,0.0000976826,0.0002175824,0.0001016708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001546053,0.0001841659,0.002722588,0.00003660186,0.00005562012,0.000003069901,0.004662463,0.9465582,0.04153432,0.002621273,0.00002462307,0.001442503],"study_design_scores_gemma":[0.001589158,0.0006785479,0.9791107,0.00002808677,0.0001058231,0.000009102267,0.001250773,0.008481038,0.002928788,0.005652335,0.000008313872,0.0001573871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347884,0.0001986256,0.06436024,0.00005916928,0.0001682382,0.0002365315,0.000146041,0.0000184703,0.00002425844],"genre_scores_gemma":[0.9976687,0.00009490582,0.002049022,0.00001085709,0.00002474131,0.00001518066,0.0001063869,0.00001892729,0.00001123613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.976388,"threshold_uncertainty_score":0.5885739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476331703769878,"score_gpt":0.2723380753077266,"score_spread":0.2475747582700278,"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."}}