{"id":"W4200465702","doi":"10.33423/jabe.v23i5.4575","title":"When a Nudge Is Not a Nudge: Why GCQ Visual Cues in Metro Manila’s Main Train Systems Fail","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nudge theory; Work (physics); Government (linguistics); Process (computing); Unit (ring theory); Computer science; Psychology; Engineering; Social psychology","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":[0.001055595,0.0001512295,0.0005188255,0.0001321012,0.0001647771,0.0003516903,0.0002082908,0.0001451768,0.0001566725],"category_scores_gemma":[0.00002200478,0.0001430634,0.00009201349,0.0002301598,0.0001250992,0.0004975518,0.00002973528,0.0002023726,0.00000371266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814,"about_ca_system_score_gemma":0.0004193474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008930369,"about_ca_topic_score_gemma":0.008404069,"domain_scores_codex":[0.998593,0.00003763033,0.0006892475,0.0002409354,0.0001470178,0.0002921368],"domain_scores_gemma":[0.9991729,0.00006836661,0.0003742356,0.0001082353,0.0001387087,0.0001375727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003436641,0.002461749,0.698217,0.001638102,0.0009395056,0.0008828456,0.1207835,0.001543773,0.005068985,0.08487132,0.02520678,0.05494986],"study_design_scores_gemma":[0.009570904,0.0001486173,0.5053935,0.0002448482,0.0003899148,0.00004415638,0.1413631,0.001805036,0.002359889,0.03863079,0.29807,0.001979223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919513,0.0003815084,0.0002528378,0.004042376,0.0003906,0.0001254176,0.00002085696,0.000008091532,0.002826941],"genre_scores_gemma":[0.9972511,0.0004923079,0.0003178369,0.001378848,0.000400211,0.000004991435,0.000004211161,0.00001462593,0.0001358745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728632,"threshold_uncertainty_score":0.5833955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306799700483435,"score_gpt":0.25730360736284,"score_spread":0.2342356103580056,"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."}}