{"id":"W4287398150","doi":"","title":"Artificial Intelligence Analysis of Mandibular Movements Enables Accurate Detection of Phasic Sleep Bruxism in OSA Patients: A Pilot Study","year":2021,"lang":"en","type":"other","venue":"Dove Medical Press (Taylor and Francis Group)","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institutes of Health; Agence Nationale de la Recherche; Fondation Université Grenoble Alpes; University of Missouri","keywords":"Sleep Bruxism; Sleep (system call); Physical medicine and rehabilitation; Psychology; Medicine; Orthodontics; Computer science; Electromyography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007105437,0.0004170956,0.0004297876,0.0003355925,0.0002159865,0.0004004879,0.0002220572,0.0003642949,0.001667244],"category_scores_gemma":[0.001491462,0.0001501708,0.0003894041,0.0002162218,0.0002515014,0.0002071388,0.0002873076,0.0003040194,0.0003155076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249319,"about_ca_system_score_gemma":0.0001793051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238675,"about_ca_topic_score_gemma":0.001192365,"domain_scores_codex":[0.9997335,0.000108082,0.00002182308,0.00005348401,0.00005519414,0.00002795975],"domain_scores_gemma":[0.9994,0.0003221699,0.00005249248,0.00006110851,0.00008714593,0.00007704659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0214964,0.007963492,0.5909596,0.0004756286,0.0008006495,0.001580687,0.001737968,0.001316256,0.1095107,0.000265594,0.001124064,0.2627691],"study_design_scores_gemma":[0.0006227234,0.01714535,0.969729,0.00002773221,0.0002600592,0.000903944,0.0005250162,0.005529299,0.003780592,0.0001199215,0.001326548,0.0000298486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977731,0.0003253587,0.001054207,0.00003902579,0.00001794698,0.0001161889,0.0001287171,0.00001085024,0.0005345682],"genre_scores_gemma":[0.9971998,0.0002331301,0.001623582,0.000061537,0.00005000576,0.0001304321,0.0002236741,0.000007939302,0.0004698761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001667244,"threshold_uncertainty_score":0.005577445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05265966798423351,"score_gpt":0.3623280692636058,"score_spread":0.3096684012793723,"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."}}