{"id":"W2325866757","doi":"10.1017/s0317167100016218","title":"Predictors of Percutaneous Endoscopic Gastrostomy Tube Placement after Stroke","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Percutaneous endoscopic gastrostomy; Swallowing; Stroke (engine); Odds ratio; Confidence interval; Lesion; Internal medicine; Logistic regression; Univariate analysis; Surgery; Multivariate analysis; PEG ratio","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00061408,0.0003637323,0.0003865941,0.0007256814,0.0004231266,0.0007404566,0.0004354326,0.000659724,0.002529478],"category_scores_gemma":[0.004564142,0.0002295152,0.0005249302,0.00101965,0.0003936932,0.0004879825,0.0004113504,0.000964544,0.0003978867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110623,"about_ca_system_score_gemma":0.0005581341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814843,"about_ca_topic_score_gemma":0.002073993,"domain_scores_codex":[0.9995003,0.0001211475,0.00009164479,0.00007757331,0.0001106838,0.00009865846],"domain_scores_gemma":[0.996902,0.0007600019,0.001521222,0.0001216302,0.000244656,0.0004504632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008554345,0.00001887021,0.9990282,0.000005213801,0.00002116063,0.0001068348,0.000008392573,0.0000486005,0.00005377215,0.000006036424,0.00004697176,0.0005705337],"study_design_scores_gemma":[0.000006980113,0.0001073626,0.9981027,0.0000108163,0.00004343454,0.0008440812,0.00006786025,0.0005833752,0.0001060657,0.00003242392,0.00009077242,0.000004192445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998793,0.0003893502,0.0001521965,0.00008327227,0.00001360846,0.000007180816,0.0001887612,0.000007140116,0.0003653742],"genre_scores_gemma":[0.9994387,0.0001305326,0.00008563673,0.00001375144,0.00002628003,0.000003594214,0.000223706,0.000002067826,0.00007564922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9981852,"threshold_uncertainty_score":0.008461952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066340427285614,"score_gpt":0.2673144259208742,"score_spread":0.2466510216480181,"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."}}