{"id":"W2748305045","doi":"10.1161/str.47.suppl_1.tp392","title":"Abstract TP392: Cracking the Code, a Multidisciplinary Approach to Safe, Effective, and Evidence Based Bedside Dysphagia Screening of Stroke Patients With Three Textures","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":"Douglas College","funders":"","keywords":"Dysphagia; Medicine; Swallowing; Stroke (engine); Multidisciplinary approach; Intensive care medicine; Physical therapy; Pediatrics; Surgery","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":[0.005218786,0.0003768501,0.0004946686,0.001734783,0.001382119,0.001289802,0.0008401949,0.0009493495,0.004140066],"category_scores_gemma":[0.01633359,0.0002391867,0.0008731401,0.0005986417,0.0004697951,0.001062964,0.002990209,0.001477913,0.0009061486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865031,"about_ca_system_score_gemma":0.01463782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330151,"about_ca_topic_score_gemma":0.008059761,"domain_scores_codex":[0.9974265,0.001194647,0.0004600696,0.0001947571,0.000528544,0.0001955786],"domain_scores_gemma":[0.9923184,0.001048756,0.001331712,0.000244014,0.00250992,0.002547133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001345986,0.002665567,0.07728267,0.003822657,0.0002079134,0.005361051,0.003229317,0.00124811,0.004916343,0.001593536,0.1336368,0.76469],"study_design_scores_gemma":[0.003623388,0.014959,0.5850952,0.01918365,0.001117335,0.0172457,0.01643182,0.02002437,0.009530796,0.01519572,0.2969823,0.000610766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6261802,0.0197355,0.08929707,0.1407957,0.009312792,0.02776676,0.002351597,0.002477949,0.08208238],"genre_scores_gemma":[0.7054281,0.008721159,0.2441565,0.01549231,0.003299842,0.007638728,0.001619973,0.0001794655,0.01346391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005218786,"threshold_uncertainty_score":0.02759993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964223539963901,"score_gpt":0.3543210392962503,"score_spread":0.3146788038966112,"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."}}