{"id":"W6925369791","doi":"10.17632/cyhchpxwps","title":"ECG & EEG features for mental workload and multilevel stress classification in different sexes","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental arithmetic; Electroencephalography; Brain–computer interface; Workload; Task (project management); Mental stress","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002440989,0.0003836789,0.0002973231,0.0007824305,0.0001476735,0.0003500394,0.000115861,0.000311912,0.001789523],"category_scores_gemma":[0.000871496,0.00008273705,0.0001780982,0.0004337756,0.0001441892,0.0001797952,0.0002673268,0.0001719471,0.0003665165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005351107,"about_ca_system_score_gemma":0.00006159654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004349526,"about_ca_topic_score_gemma":0.0006671552,"domain_scores_codex":[0.9998699,0.00002209334,0.00001709786,0.0000371539,0.00002832002,0.00002540993],"domain_scores_gemma":[0.9997163,0.00006419538,0.00007446433,0.00002522992,0.00004811562,0.00007156808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002065811,0.0002816047,0.8973853,0.0001086988,0.0001318194,0.0007033091,0.0004709717,0.0003963283,0.03323166,0.00008872534,0.0005454943,0.06459022],"study_design_scores_gemma":[0.00001345413,0.0003221821,0.9975579,0.000004902145,0.00002280963,0.0004137712,0.0001362327,0.0006062528,0.0006827193,0.00003549196,0.0001991641,0.000005053387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9974952,0.0001834252,0.001186008,0.00002014041,0.00001052992,0.00003158871,0.0004266349,0.00001446532,0.0006319806],"genre_scores_gemma":[0.998655,0.0000817957,0.0005408975,0.00001542433,0.0000229268,0.00003177769,0.0003203418,0.000003868455,0.0003279926],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001789523,"threshold_uncertainty_score":0.005986512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123367361757891,"score_gpt":0.3293616809992053,"score_spread":0.2170249448234163,"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."}}