{"id":"W4391538709","doi":"10.21203/rs.3.rs-3914347/v1","title":"A Novel Approach to Detect Driver Drowsiness Using Transfer Learning and Hybrid Features","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Transfer of learning; Computer science; Artificial intelligence; Transfer (computing); Machine learning; Pattern recognition (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004497572,0.0007200728,0.0005608249,0.001279193,0.0002223371,0.0004323823,0.0006987303,0.0005924933,0.001207612],"category_scores_gemma":[0.0007792606,0.0001788638,0.0006335226,0.0006878849,0.0001427017,0.0008157378,0.0006892065,0.0006598413,0.0005520512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178407,"about_ca_system_score_gemma":0.000329813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446802,"about_ca_topic_score_gemma":0.002984908,"domain_scores_codex":[0.999752,0.0000283162,0.00001367568,0.00009343031,0.00006002754,0.00005254067],"domain_scores_gemma":[0.9996798,0.00006358636,0.00003431441,0.00003965975,0.0001516955,0.00003097199],"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":[0.0006156321,0.001015184,0.03440632,0.00008571984,0.0003226704,0.0003000944,0.0001103356,0.08742711,0.04116964,0.0009853134,0.005374939,0.8281871],"study_design_scores_gemma":[0.000009087465,0.0001739551,0.01092649,0.000009022499,0.00004603316,0.0001013284,0.0000318395,0.9792979,0.007827963,0.0008553618,0.0007055578,0.00001545003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4436051,0.001219793,0.5468053,0.0003612702,0.0002078882,0.0001610891,0.0007994915,0.002993543,0.003846578],"genre_scores_gemma":[0.9586715,0.0001392175,0.0380579,0.00006975812,0.00005761204,0.00005634813,0.0005677394,0.00002758257,0.002352411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003446802,"threshold_uncertainty_score":0.006853461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08281951726110746,"score_gpt":0.4058871980333348,"score_spread":0.3230676807722274,"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."}}