{"id":"W4200169406","doi":"10.1109/sensors47087.2021.9639704","title":"A Smart Mandibular Device for Intra-oral Electroencephalogram Monitoring","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Sensors","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Electroencephalography; Sleep (system call); SIGNAL (programming language); Computer science; Medicine","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":[0.0002772895,0.0005302641,0.0004735024,0.0004378316,0.0001833636,0.0004098371,0.0009873459,0.0008020843,0.007267031],"category_scores_gemma":[0.0005473989,0.0003066454,0.0004545345,0.0003363914,0.0002111444,0.0005621947,0.0006175317,0.0003989601,0.001680109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136144,"about_ca_system_score_gemma":0.0002631575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002452284,"about_ca_topic_score_gemma":0.0004317212,"domain_scores_codex":[0.9996872,0.00003439821,0.00002897493,0.00007996832,0.0001444872,0.0000250803],"domain_scores_gemma":[0.9997848,0.00005161663,0.00003995534,0.00004546563,0.00005456843,0.00002366921],"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":[0.000703552,0.000182641,0.005040208,0.0008871799,0.00005898397,0.0008556109,0.0001955673,0.0005011546,0.7504355,0.001701155,0.008219558,0.2312188],"study_design_scores_gemma":[0.0007400362,0.008413509,0.08607786,0.0004395314,0.0007287336,0.02395641,0.0004789831,0.040227,0.5788375,0.00153781,0.2581245,0.0004380463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3660326,0.006664638,0.5847563,0.002292624,0.001855492,0.002085983,0.00359149,0.00491272,0.02780818],"genre_scores_gemma":[0.6891901,0.002456055,0.2719094,0.001327476,0.0003237087,0.001140476,0.001129577,0.0001779564,0.03234532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007267031,"threshold_uncertainty_score":0.02431065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312607800869903,"score_gpt":0.3339307311128114,"score_spread":0.3008046531041123,"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."}}