{"id":"W2140305456","doi":"10.2139/ssrn.1557826","title":"On the Use of Neurophysiological Tools in IS Research: Developing a Research Agenda for NeuroIS","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neurophysiology; Data science; Neuroimaging; Brain research; Computer science; Cognitive science; 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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02427869,0.0001102836,0.00021545,0.000909264,0.0005773571,0.0002607551,0.001640024,0.0001861221,0.0001132915],"category_scores_gemma":[0.03029271,0.00006202587,0.0001330214,0.001726096,0.0004835156,0.000251872,0.00024357,0.008053877,0.00007583006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693868,"about_ca_system_score_gemma":0.001674182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002906208,"about_ca_topic_score_gemma":0.0005548482,"domain_scores_codex":[0.9942511,0.001218252,0.0005969355,0.0004085488,0.001485141,0.002039999],"domain_scores_gemma":[0.9890978,0.009118192,0.0001579624,0.0006166077,0.0009514018,0.00005802373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003317546,0.0001527527,0.003825285,0.000001292147,0.0000126632,0.00001388291,0.0002866908,0.00001777751,0.02588791,0.8989227,0.009190528,0.06135678],"study_design_scores_gemma":[0.0004068101,0.0008728465,0.04575279,0.00001436106,0.000002001792,0.00008401914,0.001106236,0.0002049012,0.001419317,0.9212081,0.02883024,0.00009841622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813575,0.00004135272,0.0008402496,0.01718336,0.0001861697,0.0003271514,0.000006211569,0.00001385143,0.00004420135],"genre_scores_gemma":[0.9978396,0.0003377163,0.0003894615,0.0005125153,0.00005955385,0.00002459089,4.230696e-7,0.00001304568,0.0008230456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06125836,"threshold_uncertainty_score":0.9942346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7275368309299696,"score_gpt":0.5316770099210725,"score_spread":0.1958598210088971,"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."}}