{"id":"W2895508768","doi":"10.1503/cmaj.180108","title":"Malnutrition in Canadian hospitals","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Malnutrition; Computer science; Data science; Medicine; World Wide Web; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0008719708,0.0004238397,0.0004053687,0.002131877,0.004677079,0.001951134,0.0009889614,0.0006280644,0.006599368],"category_scores_gemma":[0.005826259,0.0003402465,0.0008968807,0.007179396,0.0005639134,0.000701432,0.001451985,0.001030199,0.0002832845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05321685,"about_ca_system_score_gemma":0.06314979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861843,"about_ca_topic_score_gemma":0.9920844,"domain_scores_codex":[0.9977458,0.0001589422,0.0001487697,0.0001889809,0.001003448,0.0007539726],"domain_scores_gemma":[0.995756,0.0001749173,0.0009695833,0.00006863619,0.001692332,0.001338505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002007118,0.0001086474,0.9015458,0.000706916,0.000145222,0.0006207449,0.001876016,0.0001856943,0.0002553231,0.001381902,0.03886667,0.05410632],"study_design_scores_gemma":[0.00002560276,0.00004703799,0.9818757,0.000477681,0.00004825138,0.0003480098,0.002019596,0.0001461805,0.00005895443,0.0001315636,0.01477753,0.00004394931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8579582,0.02103585,0.0005459287,0.02412467,0.0007710938,0.0004935049,0.02470957,0.0000956375,0.07026567],"genre_scores_gemma":[0.9790555,0.008497525,0.0007771185,0.004094627,0.0001154635,0.000113836,0.004477727,0.00001453868,0.002853722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05321685,"threshold_uncertainty_score":0.3861171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141161095709467,"score_gpt":0.2976182546709867,"score_spread":0.2862066437138921,"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."}}