{"id":"W7118435606","doi":"10.1109/vtc2025-fall65116.2025.11310104","title":"Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control","year":2025,"lang":"","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Western University","funders":"","keywords":"Wearable computer; Cruise control; Reinforcement learning; Control (management); Artificial neural network; Quality (philosophy); Sleep (system call)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001493553,0.0007342669,0.001274777,0.0009622577,0.0003619987,0.0003165722,0.000350132,0.000991798,0.00141853],"category_scores_gemma":[0.0004210294,0.0007387109,0.0002660859,0.001418332,0.0003429097,0.0002024532,0.0002926368,0.001489342,0.0001853139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631543,"about_ca_system_score_gemma":0.0002054898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003081715,"about_ca_topic_score_gemma":0.000561886,"domain_scores_codex":[0.9944047,0.0008725816,0.001648283,0.001331129,0.0003220921,0.001421186],"domain_scores_gemma":[0.9972635,0.00105911,0.00027346,0.0008989118,0.0001608593,0.0003441568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003427228,0.001428813,0.08059754,0.0001151995,0.00327625,0.0007200548,0.01133179,0.0168139,0.001926304,0.02370338,0.003056967,0.8536026],"study_design_scores_gemma":[0.1008508,0.001199969,0.04619384,0.01727453,0.003018733,0.00008571064,0.02241192,0.7780905,0.01399677,0.002433988,0.009158675,0.00528456],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7381854,0.02339181,0.06010538,0.006740069,0.005577123,0.002135426,0.000008603513,0.0002953151,0.1635609],"genre_scores_gemma":[0.9921565,0.00165742,0.001886662,0.001812998,0.0001255774,0.00003003481,0.000003721592,0.00006990751,0.002257147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.848318,"threshold_uncertainty_score":0.9995064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274486812104984,"score_gpt":0.284094838747563,"score_spread":0.2713499706265132,"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."}}