{"id":"W4415061409","doi":"10.48550/arxiv.2503.20888","title":"Coolight: Enhancing Nighttime Safety for Urban Student Commuters","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Key (lock); Anxiety; Urban design; Planner; Mobile device","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006487209,0.0005965878,0.0008338253,0.0002534855,0.0003127988,0.00005906393,0.00115697,0.00106067,0.001047827],"category_scores_gemma":[0.00006780103,0.0005918788,0.0004198707,0.0002259961,0.0001078955,0.00004949648,0.0008236076,0.001456388,0.0007849287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757889,"about_ca_system_score_gemma":0.0001462212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001872962,"about_ca_topic_score_gemma":0.00008717367,"domain_scores_codex":[0.996628,0.0002750864,0.0009277627,0.001066671,0.0002404036,0.000862061],"domain_scores_gemma":[0.9969682,0.0006068287,0.0003745953,0.00168895,0.000159597,0.0002018018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149026,0.001526882,0.7598104,0.0002655166,0.007830664,0.0001152324,0.05583329,0.0004127692,0.000180805,0.01083381,0.1474593,0.0145822],"study_design_scores_gemma":[0.01619649,0.001162351,0.6421166,0.007726288,0.003034864,0.00001447659,0.009307826,0.0001037479,0.00453116,0.001113,0.3085508,0.00614242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277701,0.00239736,0.006135211,0.001569957,0.01305072,0.002241025,0.0002929702,0.000486163,0.04605645],"genre_scores_gemma":[0.9840173,0.00009629925,0.0003759155,0.001687735,0.0006887293,0.0008870185,0.0003488197,0.00008062253,0.01181762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610915,"threshold_uncertainty_score":0.9999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065955718508765,"score_gpt":0.3491268120664083,"score_spread":0.3084672548813207,"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."}}