{"id":"W4288081652","doi":"10.18280/ts.390335","title":"Dual-Layer Ranking Feature Selection Method Based on Statistical Formula for Driver Fatigue Detection of EMG Signals","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaysia Pahang","keywords":"Pattern recognition (psychology); Feature selection; Artificial intelligence; Classifier (UML); Feature (linguistics); Computer science; Ranking (information retrieval); Benchmark (surveying); Filter (signal processing); Frequency domain; Rank (graph theory); Feature extraction; Time domain; Mathematics; Speech recognition; Computer vision","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":[0.0003471774,0.0001631875,0.0002044357,0.0002466671,0.0002716208,0.00001637686,0.00005728517,0.00004227889,0.0003823724],"category_scores_gemma":[0.00001694302,0.0001684007,0.0001144354,0.0003350472,0.00001281091,0.00007238887,0.00001054569,0.0001907083,2.349615e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215972,"about_ca_system_score_gemma":0.00001555392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007831712,"about_ca_topic_score_gemma":0.000008318516,"domain_scores_codex":[0.9988993,0.00008921882,0.0002364714,0.0001901085,0.000342645,0.0002422168],"domain_scores_gemma":[0.9994489,0.0003123147,0.00006715674,0.00006775444,0.00006578169,0.00003810276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003789032,0.0001475496,0.0001759029,0.0001438642,0.000247761,0.000001134138,0.0004018396,0.4793653,0.4430374,0.0009669882,0.003590372,0.07154304],"study_design_scores_gemma":[0.001858012,0.0009913087,0.007666888,0.00001866354,0.00008976636,0.000002625472,0.0001382827,0.7799622,0.2023045,0.0003806351,0.006312928,0.0002741423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03843934,0.00002546324,0.9602786,0.0001008421,0.0001254028,0.0005613789,0.00008325995,0.0001405859,0.000245127],"genre_scores_gemma":[0.9899961,0.000002317879,0.009311306,0.0001293348,0.00007745482,0.0003840784,0.00005350717,0.00002875305,0.00001716742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9515567,"threshold_uncertainty_score":0.6867181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259232308487482,"score_gpt":0.2698651597644351,"score_spread":0.2472728366795603,"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."}}