{"id":"W3110860986","doi":"10.1145/3410977.3410980","title":"A Decade of NeuroIS Research","year":2020,"lang":"en","type":"article","venue":"ACM SIGMIS Database the DATABASE for Advances in Information Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Field (mathematics); Engineering ethics; Perspective (graphical); Identity (music); Empirical research; Management science; Data science; Sociology; Psychology; Knowledge management; Computer science; Epistemology; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.001962775,0.0002011409,0.0003058822,0.0002635139,0.0002354339,0.0001545919,0.002090821,0.00004501145,0.00001582228],"category_scores_gemma":[0.01058138,0.0001449634,0.00006528597,0.00108694,0.0002528261,0.005619282,0.0008983997,0.0004362655,0.0001005108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003849443,"about_ca_system_score_gemma":0.00007997348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061544,"about_ca_topic_score_gemma":0.00001689171,"domain_scores_codex":[0.9968566,0.0004330285,0.0009738175,0.0003743951,0.0008920426,0.0004701708],"domain_scores_gemma":[0.9941096,0.003818628,0.0003865629,0.00132434,0.0002257997,0.0001350886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00398912,0.000544122,0.001416897,0.01326809,0.00006578476,0.0000605604,0.03062735,0.03368779,0.5330818,0.1489723,0.1942343,0.04005183],"study_design_scores_gemma":[0.001214388,0.0002539608,0.00001552611,0.0004003207,0.000008567677,0.00003181929,0.00267519,0.04357748,0.1906585,0.0001496806,0.7607471,0.0002675003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4910735,0.008088839,0.3399739,0.01532914,0.006605771,0.01850471,0.1109895,0.0008861546,0.008548508],"genre_scores_gemma":[0.9944777,0.0007872211,0.001716382,0.001458759,0.0002266087,0.0003498813,0.0009393608,0.00002245932,0.00002166735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5665128,"threshold_uncertainty_score":0.9977529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1177429455073875,"score_gpt":0.3809482993466548,"score_spread":0.2632053538392673,"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."}}