{"id":"W2078911682","doi":"10.1007/s00455-012-9418-9","title":"Noninvasive Detection of Thin-Liquid Aspiration Using Dual-Axis Swallowing Accelerometry","year":2012,"lang":"en","type":"article","venue":"Dysphagia","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto; Toronto Rehabilitation Institute; University Health Network","funders":"Canadian Institutes of Health Research; Toronto Rehabilitation Institute; Ontario Centres of Excellence","keywords":"Medicine; Swallowing; Dysphagia; Airway; Otorhinolaryngology; Aspiration pneumonia; Bolus (digestion); Radiology; Pulmonary aspiration; Surgery; Pneumonia; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001091777,0.0004249689,0.0004317442,0.0006407736,0.0001430999,0.000424326,0.0001793692,0.000436517,0.0006003201],"category_scores_gemma":[0.006544156,0.0001511428,0.0001834276,0.0002672376,0.0002108266,0.0003158504,0.0003268478,0.0002256453,0.0003347646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094925,"about_ca_system_score_gemma":0.0002192848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009092587,"about_ca_topic_score_gemma":0.001789007,"domain_scores_codex":[0.999289,0.0002410934,0.00007380326,0.0001057484,0.0002517462,0.00003848995],"domain_scores_gemma":[0.9980898,0.0008915044,0.0004410145,0.00009384835,0.0004042676,0.00007941574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001482292,0.0001852265,0.7746799,0.0002137791,0.0001197767,0.000248135,0.0003252134,0.0007314096,0.08032598,0.00007792939,0.0003379266,0.1412724],"study_design_scores_gemma":[0.00008246971,0.003305668,0.9590214,0.00007339094,0.0001149478,0.001986824,0.0003458825,0.01878177,0.01534002,0.0001683149,0.000747154,0.00003223855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832981,0.0006259482,0.01497399,0.00009337099,0.0000279688,0.00008506975,0.0001708044,0.00006057379,0.0006641386],"genre_scores_gemma":[0.9831587,0.0004254507,0.01581496,0.00005637777,0.00003271332,0.00004289403,0.0001568011,0.000006704779,0.000305391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091777,"threshold_uncertainty_score":0.005773962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07847704747863223,"score_gpt":0.400612733590769,"score_spread":0.3221356861121368,"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."}}