{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001157455,0.000207662,0.0003109207,0.0002777181,0.0005274193,0.00001153912,0.0001401452,0.0002183334,0.0007934947],"category_scores_gemma":[0.0001465388,0.0002013075,0.00009716553,0.0005091592,0.00003727919,0.0008784157,0.0002022202,0.0004069798,0.0002916921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289356,"about_ca_system_score_gemma":0.00009603968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002472436,"about_ca_topic_score_gemma":0.00004355076,"domain_scores_codex":[0.997709,0.0003039439,0.0006595022,0.0002436845,0.0004145285,0.0006693071],"domain_scores_gemma":[0.998674,0.0002027215,0.0004519863,0.0003451799,0.0001739204,0.0001522408],"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":[0.0004191019,0.0007339782,0.1002983,0.001467355,0.001030934,0.00002819873,0.01908983,0.0003463881,0.8567896,0.00798416,0.001657995,0.01015407],"study_design_scores_gemma":[0.01032781,0.002650699,0.4130981,0.001532915,0.002256561,0.00003457421,0.03371681,0.009775184,0.456582,0.0007837921,0.06625295,0.002988575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692298,0.0003096386,0.01505352,0.00007018906,0.003190675,0.0008505071,0.000005362413,0.000132548,0.01115777],"genre_scores_gemma":[0.9964341,0.00002136651,0.001464991,0.0004273287,0.0004636305,0.00006713288,0.00002191669,0.0000413055,0.00105822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4002077,"threshold_uncertainty_score":0.868821,"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."}}