{"id":"W4405887423","doi":"10.1016/j.cities.2024.105683","title":"Impact of attitudinal factors and mode-specific transportation policies on the intention to adopt MaaS: The moderating role of urban scale","year":2024,"lang":"en","type":"article","venue":"Cities","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Scale (ratio); Mode (computer interface); Psychology; Business; Mode choice; Social psychology; Political science; Public transport; Geography; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005197047,0.00007200542,0.00007736081,0.00007523758,0.00005010193,0.00002460921,0.0000425429,0.00001610384,0.00002372926],"category_scores_gemma":[0.000003793436,0.00004249157,0.00005489683,0.0001624688,0.00005714859,0.00007675659,0.000001163707,0.00006942011,6.394342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001901365,"about_ca_system_score_gemma":0.000009218566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544198,"about_ca_topic_score_gemma":0.0001899969,"domain_scores_codex":[0.9996061,0.000006594755,0.0001760983,0.00005939933,0.00008516042,0.00006658845],"domain_scores_gemma":[0.9997858,0.00005888337,0.0000150008,0.0000825016,0.00004476188,0.00001305328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000513328,0.00007056414,0.1761926,0.0004402251,0.0003367198,6.165899e-7,0.2330814,0.217666,0.1036938,0.2618011,0.001225339,0.005440349],"study_design_scores_gemma":[0.00006910973,0.0000877559,0.9465091,0.0001608055,0.00002815181,5.057455e-7,0.01674377,0.01335445,0.02159447,0.001030145,0.0003169781,0.0001047948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966792,0.0002339653,0.002231027,0.0000871652,0.00005742483,0.0001268236,0.000165155,0.00005415465,0.0003650903],"genre_scores_gemma":[0.9998338,0.00003036032,0.00003726336,0.000007201967,0.00001292631,0.0000150821,0.0000271837,0.000008886672,0.00002734259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7703165,"threshold_uncertainty_score":0.1732756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212665876306723,"score_gpt":0.2563382168975664,"score_spread":0.2342115581344992,"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."}}