{"id":"W2895092061","doi":"10.17705/1cais.04305","title":"Non-invasive Brain Stimulation as a Set of Research Tools in NeuroIS: Opportunities and Methodological Considerations","year":2018,"lang":"en","type":"article","venue":"Communications of the Association for Information Systems","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Brain stimulation; Set (abstract data type); Neuroscience; Computer science; Field (mathematics); Data science; Cognitive science; Psychology; Stimulation","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":[0.003484715,0.00009641853,0.0002702307,0.0003655434,0.0005485846,0.0001275141,0.000576315,0.0001108113,0.000003623181],"category_scores_gemma":[0.04146989,0.00008253336,0.00006375281,0.0006285133,0.0005259574,0.000762886,0.0003287594,0.0001579905,0.000008293726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101664,"about_ca_system_score_gemma":0.000162556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001489354,"about_ca_topic_score_gemma":0.00005823695,"domain_scores_codex":[0.9969783,0.001271189,0.0009530157,0.0001196859,0.0005093595,0.0001684631],"domain_scores_gemma":[0.9764124,0.02031361,0.0008415019,0.0009152748,0.001484791,0.0000324045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001523744,0.0001111079,0.01462115,0.0002885585,0.00004989436,9.28247e-8,0.02630938,0.003104031,0.03596254,0.9148779,0.003619089,0.0009039179],"study_design_scores_gemma":[0.01316896,0.002358402,0.6116177,0.001427901,0.0002206076,0.00004639315,0.04396877,0.09989426,0.04379783,0.05745202,0.1248845,0.001162566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8550701,0.0002666901,0.00261257,0.05015844,0.001116635,0.01004889,0.001260903,0.0001682354,0.07929754],"genre_scores_gemma":[0.998193,0.00008328685,0.001039643,0.000249928,0.00002581734,0.000211663,0.00001820837,0.000006197408,0.0001722825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8574259,"threshold_uncertainty_score":0.9666042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5416844821903272,"score_gpt":0.4670459534467977,"score_spread":0.07463852874352944,"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."}}