{"id":"W2761686670","doi":"10.1161/str.47.suppl_1.tp317","title":"Abstract TP317: Enteral Tube Feeding in Acute Ischemic Stroke Patients: a Multivariate Predictive Analysis","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); Odds ratio; Modified Rankin Scale; Confidence interval; Internal medicine; Logistic regression; Swallowing; Enteral administration; Glasgow Coma Scale; Feeding tube; Parenteral nutrition; Surgery; Ischemic stroke; Ischemia","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":[0.002591363,0.001083407,0.0007745686,0.001993583,0.0005434523,0.001314873,0.0008056985,0.0005744052,0.004779598],"category_scores_gemma":[0.00753499,0.0003412547,0.001710786,0.002075154,0.0003971682,0.0006734459,0.0006651902,0.001538662,0.0006456354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228164,"about_ca_system_score_gemma":0.001202064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005250793,"about_ca_topic_score_gemma":0.002238735,"domain_scores_codex":[0.9989154,0.000493077,0.0000848341,0.0001646245,0.0002017368,0.0001403325],"domain_scores_gemma":[0.9956974,0.002410173,0.0007373404,0.0002059291,0.0003506897,0.0005984327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006492331,0.00006289865,0.9941849,0.00001820681,0.0004495063,0.0001414177,0.00002369198,0.0006739662,0.00009288799,0.00003678873,0.0005527263,0.003113648],"study_design_scores_gemma":[0.00009600955,0.0006141792,0.9489084,0.00004712054,0.001141794,0.0008113235,0.0002575533,0.04672375,0.000272453,0.0003989954,0.0006945378,0.00003378758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957836,0.0005780318,0.001088708,0.0004598317,0.0000740333,0.00003636487,0.0009208139,0.00006829372,0.0009904112],"genre_scores_gemma":[0.9985461,0.0001381143,0.0003655268,0.00002067367,0.00006996122,0.0000231989,0.0005572385,0.00001219599,0.0002670087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005250793,"threshold_uncertainty_score":0.01598936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048948994310926,"score_gpt":0.3588705711954614,"score_spread":0.3383810812523521,"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."}}