{"id":"W2752617160","doi":"10.1161/str.47.suppl_1.tp328","title":"Abstract TP328: Kentucky SEQIP Statewide Approach to Improving Bedside Dysphagia Screening","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dysphagia; Stroke (engine); Quality management; Certification; Emergency medicine; Audit; Swallowing; Intensive care medicine; Physical therapy; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01952007,0.0006752512,0.0003463936,0.002055003,0.003262677,0.005571277,0.003286059,0.002268804,0.0111299],"category_scores_gemma":[0.0186524,0.0009527684,0.0006960495,0.002778428,0.0009820968,0.002685556,0.01008769,0.003456209,0.001801988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01785536,"about_ca_system_score_gemma":0.1210782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2064041,"about_ca_topic_score_gemma":0.3006406,"domain_scores_codex":[0.9913663,0.002673764,0.001147343,0.001247176,0.001868611,0.001696704],"domain_scores_gemma":[0.9511605,0.003579924,0.004928504,0.003553213,0.0221128,0.01466504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006341851,0.002451533,0.3604286,0.00119042,0.0002725952,0.0009605818,0.003810664,0.005983533,0.01246208,0.00353662,0.2362662,0.372003],"study_design_scores_gemma":[0.0004388721,0.00195049,0.7664303,0.001609592,0.0001545753,0.0003624348,0.006238582,0.008959754,0.003981976,0.00138675,0.2083106,0.0001760591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4963228,0.003979991,0.07385045,0.2377686,0.002316324,0.02892861,0.0197403,0.007441725,0.1296512],"genre_scores_gemma":[0.7436704,0.003053654,0.1186704,0.04109606,0.0009863118,0.01628268,0.02029833,0.0004780914,0.05546399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2064041,"threshold_uncertainty_score":0.4104054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04775378073576783,"score_gpt":0.367732212038792,"score_spread":0.3199784313030242,"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."}}