{"id":"W1967259661","doi":"10.1109/hicss.2012.448","title":"Neurophysiological Correlates of Information Systems Commonly Used Self-Reported Measures: A Multitrait Multimethod Study","year":2012,"lang":"en","type":"article","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Arousal; Neurophysiology; Trait; Cognition; Cognitive psychology; Computer science; Perception; Construct (python library); Psychology; Construct validity; Cognitive load; Artificial intelligence; Psychometrics; Social psychology; Developmental psychology; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.003509915,0.0001792561,0.0004590525,0.0003958677,0.0001230427,0.00008354878,0.0006012686,0.0002245386,0.0001269431],"category_scores_gemma":[0.002504478,0.0001127469,0.0001207571,0.0007708787,0.00009085544,0.0009113897,0.0001617899,0.0002864671,0.000427335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002269848,"about_ca_system_score_gemma":0.00003180793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148555,"about_ca_topic_score_gemma":0.000008866247,"domain_scores_codex":[0.9963706,0.0006888974,0.001342559,0.0002268989,0.001084983,0.0002860294],"domain_scores_gemma":[0.997049,0.0008939565,0.0006651449,0.0007274574,0.0005305864,0.0001338474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004015186,0.001115147,0.9900727,0.000002785608,0.00005782022,0.0000025541,0.002543241,0.0001552343,0.001157053,0.0008041238,0.0003229701,0.003726191],"study_design_scores_gemma":[0.0009786591,0.0002612045,0.9848841,0.000004534377,0.00006116465,0.00002330156,0.007232719,0.004523316,0.0001833551,0.00006170783,0.001631949,0.0001539652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886935,0.00002898352,0.008966475,0.00003314583,0.0006054859,0.0007150615,0.0000084043,0.0004345993,0.0005143392],"genre_scores_gemma":[0.9955466,0.000002114503,0.004204664,0.00004360992,0.00001634988,0.00003052809,0.000004366242,0.000006586333,0.0001452145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00685306,"threshold_uncertainty_score":0.549267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.179855957433751,"score_gpt":0.393981408741287,"score_spread":0.214125451307536,"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."}}