{"id":"W4391621171","doi":"10.1109/jiot.2024.3363176","title":"A Multimodal Driver Emotion Recognition Algorithm Based on the Audio and Video Signals in Internet of Vehicles Platform","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Computer science; Discriminative model; Feature (linguistics); Feature extraction; Speech recognition; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001060521,0.0001527746,0.0002205546,0.0004437946,0.00002389146,0.00007608518,0.0001554303,0.0001524288,0.001058718],"category_scores_gemma":[0.0000751282,0.0001103315,0.0001475539,0.0001348941,0.0001092301,0.0002954772,0.00002073097,0.0006414179,0.00006711304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006581044,"about_ca_system_score_gemma":0.00002699062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001800497,"about_ca_topic_score_gemma":0.000008785946,"domain_scores_codex":[0.9986001,0.0001854356,0.0005649893,0.0002143023,0.0002586007,0.0001765917],"domain_scores_gemma":[0.9990797,0.000361264,0.0002768975,0.00009564791,0.0001258219,0.0000606764],"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":[0.0007033389,0.0006137987,0.0009849059,0.0001653202,0.0003464386,0.0001616505,0.02292998,0.00005348918,0.01751066,0.0003496805,0.01855791,0.9376228],"study_design_scores_gemma":[0.006427779,0.003702931,0.02043268,0.01331018,0.0002821717,0.001477065,0.003594366,0.7370024,0.1920536,0.01957753,0.001339011,0.000800307],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649312,0.0001400881,0.03010189,0.0006378175,0.001565406,0.0001863006,0.00001260595,0.00003535228,0.002389348],"genre_scores_gemma":[0.9978097,0.00003571005,0.001097476,0.0004674099,0.00014081,0.00000808086,0.000009123051,0.00002093463,0.0004107725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9368225,"threshold_uncertainty_score":0.9998544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675652974826183,"score_gpt":0.2955851958471377,"score_spread":0.2588286660988759,"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."}}