{"id":"W2998885320","doi":"10.1109/sensors43011.2019.8956542","title":"An Oculomotor Sensing Technique for Saccade Isolation of Eye Movements using OpenBCI","year":2019,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Saccade; Computer vision; Computer science; Artificial intelligence; Electrooculography; Eye movement; Noise (video); Saccadic suppression of image displacement; SIGNAL (programming language)","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":[0.0002832394,0.0005199502,0.0004299435,0.0008535762,0.0003619215,0.0005225201,0.0007414836,0.0007252877,0.002583422],"category_scores_gemma":[0.0006888138,0.0002377459,0.0002614963,0.0007857014,0.0002633731,0.000565284,0.0005092184,0.0005470492,0.001118043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002959,"about_ca_system_score_gemma":0.0005095879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658911,"about_ca_topic_score_gemma":0.003106594,"domain_scores_codex":[0.999562,0.00003296482,0.00002670423,0.0001013504,0.0002491968,0.0000278618],"domain_scores_gemma":[0.9994209,0.0001187135,0.00007601988,0.00009380643,0.0002578062,0.00003275904],"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":[0.0001482491,0.00006921749,0.0006308859,0.0002613809,0.00001711144,0.0001763345,0.0001125662,0.0002494658,0.7561392,0.0006869482,0.001001856,0.2405067],"study_design_scores_gemma":[0.00006201966,0.0009173556,0.01821482,0.0000955463,0.0001146338,0.003945311,0.00009946506,0.02886115,0.9075333,0.00049455,0.0395391,0.0001227108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1130721,0.005639446,0.8668862,0.000418732,0.0005301491,0.0005989568,0.00038805,0.002717616,0.009748781],"genre_scores_gemma":[0.3897459,0.002253707,0.5908405,0.0004315339,0.0001755861,0.0002970654,0.0005646184,0.0001707416,0.01552046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002583422,"threshold_uncertainty_score":0.008642375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263210919314387,"score_gpt":0.3087818165437166,"score_spread":0.2861497073505727,"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."}}