{"id":"W2990100735","doi":"10.1109/smc.2019.8913853","title":"Estimating Cognitive Processes Related to Haptic Interaction within Virtual Environments","year":2019,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Haptic technology; Computer science; Cognition; Electroencephalography; Task (project management); Human–computer interaction; Brain–computer interface; Focus (optics); Interface (matter); Virtual reality; Artificial intelligence; Psychology; Neuroscience; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005128112,0.0004544764,0.0001796071,0.0006891694,0.0001087556,0.000608177,0.0001921421,0.000374307,0.0009419803],"category_scores_gemma":[0.005365014,0.0001570364,0.0002208637,0.0002212056,0.0002119585,0.0006438224,0.0005054045,0.0002470041,0.0001156009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397652,"about_ca_system_score_gemma":0.000149357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005781711,"about_ca_topic_score_gemma":0.0006827796,"domain_scores_codex":[0.9997175,0.000101501,0.00001725219,0.00005746541,0.00006939443,0.0000368139],"domain_scores_gemma":[0.9984015,0.001110336,0.0002526807,0.00006474189,0.000101453,0.00006939785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002900858,0.0007835669,0.1895258,0.0009576188,0.0003980524,0.0003646674,0.002523369,0.04101744,0.4182331,0.002858498,0.0004986309,0.3399384],"study_design_scores_gemma":[0.00006427262,0.001651694,0.7838284,0.00004581388,0.0001513304,0.0004446684,0.001127778,0.1641655,0.04288163,0.004878695,0.0006580945,0.0001020372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509528,0.00011702,0.04771585,0.00002599371,0.000005499041,0.00006502812,0.00008741482,0.00007376583,0.0009565127],"genre_scores_gemma":[0.9815862,0.00008292256,0.01804922,0.000009639761,0.000005650016,0.000044285,0.00007109361,0.000006214063,0.0001447575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009419803,"threshold_uncertainty_score":0.003151298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088826080497605,"score_gpt":0.2818278461549404,"score_spread":0.2609395853499644,"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."}}