{"id":"W2754616601","doi":"","title":"Nutrition screening in the adult stroke population using the Canadian Nutrition Screening Tool in comparison with the Subjective Global Assessment","year":2017,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Medicine; Population; Environmental health; Gerontology; Engineering","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":[0.003971591,0.0003793406,0.0005287794,0.001475187,0.0007897734,0.001049971,0.0005262363,0.0003656995,0.0007953618],"category_scores_gemma":[0.01210393,0.0001805215,0.0006974586,0.00193862,0.0005463949,0.0004264482,0.000894224,0.0004486985,0.0001358212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009718,"about_ca_system_score_gemma":0.003384668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6541087,"about_ca_topic_score_gemma":0.714022,"domain_scores_codex":[0.9973986,0.0005628295,0.0001860069,0.0002799547,0.001281296,0.0002913534],"domain_scores_gemma":[0.9965175,0.0006415599,0.0006131604,0.000146638,0.001771766,0.0003092732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002704011,0.0000491054,0.9895009,0.00004398339,0.0001403794,0.00002676695,0.0004061778,0.0001032808,0.0001157629,0.00004467679,0.0004107616,0.008887779],"study_design_scores_gemma":[0.00001369381,0.0001191167,0.9985934,0.00001911442,0.00004721115,0.00002559683,0.0002722687,0.0004933424,0.00006575343,0.00002641163,0.0003141516,0.000009939191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963642,0.000420824,0.0002305998,0.0001352768,0.00002134503,0.00006768387,0.000432774,0.000006752143,0.00232048],"genre_scores_gemma":[0.9982696,0.0002277427,0.0004740619,0.00005568125,0.000007528907,0.00002842469,0.0006133448,0.00000333119,0.0003201996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3458913,"threshold_uncertainty_score":0.6958566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173163090264073,"score_gpt":0.4067739611656335,"score_spread":0.2336108709015605,"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."}}