{"id":"W4409248016","doi":"10.1080/00140139.2025.2481606","title":"Passenger information function preferences based on travel frequency and expertise","year":2025,"lang":"en","type":"article","venue":"Ergonomics","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Councils UK; Workplace Safety and Insurance Board","keywords":"Function (biology); Transport engineering; Travel behavior; Aeronautics; Engineering; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000140122,0.00004837009,0.0000509748,0.00009363082,0.0002157175,0.00006959573,0.00003937649,0.00006514674,0.00003662277],"category_scores_gemma":[0.00004646229,0.00004916605,0.00001388678,0.000105777,0.00003882818,0.0003345289,0.000001308866,0.00004686122,0.000008261078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004360851,"about_ca_system_score_gemma":0.0001188818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003533789,"about_ca_topic_score_gemma":0.0003816054,"domain_scores_codex":[0.9996247,0.00003175813,0.0001235558,0.00007437114,0.00006742413,0.00007814557],"domain_scores_gemma":[0.9997895,0.00004723438,0.00004415435,0.00005169278,0.00003794547,0.00002951372],"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":[0.000768299,0.000173959,0.1326106,0.00009397649,0.00005813972,8.020144e-7,0.05124254,0.06942477,0.0001115906,0.4219121,0.007644454,0.3159588],"study_design_scores_gemma":[0.000886937,0.0001031972,0.9268252,0.00008433848,0.0000368226,4.526886e-8,0.005816568,0.04064793,0.0001472909,0.002900258,0.02228748,0.0002638919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6266329,0.00008484607,0.2134313,0.002226979,0.001336249,0.0004153856,0.00002675061,0.00021212,0.1556335],"genre_scores_gemma":[0.9979962,0.00005029409,0.00106466,0.0005342684,0.00002722674,0.0000134352,0.00005274946,0.000001750554,0.0002594796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7942147,"threshold_uncertainty_score":0.2004934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120238564582007,"score_gpt":0.2473206809265047,"score_spread":0.235296824468304,"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."}}