{"id":"W4389077455","doi":"10.1109/sensors56945.2023.10324996","title":"A Smart Intra-Oral Wearable for Wireless Electroocoulogram Measurement","year":2023,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mouthguard; Electrooculography; Wearable computer; Computer science; SIGNAL (programming language); Wireless; Computer vision; Artificial intelligence; Eye movement; Embedded system; Medicine; Dentistry; Telecommunications","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":[0.0003103385,0.0006037402,0.0005466294,0.0004635582,0.00013702,0.0004621415,0.0008307256,0.0006661393,0.004379098],"category_scores_gemma":[0.0007400506,0.0002916052,0.0003362974,0.0003425447,0.00020474,0.0006519911,0.0008017191,0.000320694,0.001264892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043809,"about_ca_system_score_gemma":0.00020397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141315,"about_ca_topic_score_gemma":0.0002006046,"domain_scores_codex":[0.9996723,0.00004929894,0.00003080668,0.00009875828,0.0001253525,0.00002346569],"domain_scores_gemma":[0.9997057,0.00006585066,0.00005496805,0.0000655499,0.00006819252,0.00003976599],"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":[0.0007062512,0.0001465025,0.005706427,0.0009410448,0.00006645993,0.0008655349,0.0001837446,0.000350172,0.731729,0.0009188507,0.003891007,0.2544951],"study_design_scores_gemma":[0.0004310845,0.008008429,0.07970701,0.0005823889,0.0006936979,0.02600474,0.0003648536,0.03112508,0.7295163,0.00172556,0.1215232,0.0003176027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3569813,0.008160179,0.6119986,0.0006928449,0.001096628,0.0009993108,0.002042918,0.004550586,0.01347776],"genre_scores_gemma":[0.709512,0.003189849,0.2692277,0.0009974034,0.000223494,0.0006824106,0.000899448,0.0002107101,0.01505692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004379098,"threshold_uncertainty_score":0.01464951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07454229543380603,"score_gpt":0.300214736226853,"score_spread":0.2256724407930469,"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."}}