{"id":"W4210543476","doi":"10.2196/preprints.7601","title":"The Use of Technology in Identifying Hospital Malnutrition: Scoping Review (Preprint)","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Malnutrition; CINAHL; Medicine; Psychological intervention; Scopus; Identification (biology); MEDLINE; Environmental health; Intensive care medicine; Gerontology; Nursing; Pathology; Political science","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":[0.05518986,0.001747407,0.006790533,0.03932607,0.001645782,0.007503401,0.003290111,0.003589946,0.01350951],"category_scores_gemma":[0.2442019,0.001747778,0.005897789,0.04441184,0.002038721,0.008241978,0.004292528,0.001877106,0.00191567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009619182,"about_ca_system_score_gemma":0.03853606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007520992,"about_ca_topic_score_gemma":0.01594691,"domain_scores_codex":[0.9315843,0.02318863,0.03326331,0.001741342,0.00935729,0.0008652398],"domain_scores_gemma":[0.7111161,0.2135909,0.03459948,0.004036111,0.03567033,0.0009871442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008687477,0.00001130794,0.0004475529,0.9364005,0.001103851,0.0001011328,0.0007572288,0.00007599373,0.0001589725,0.0007469996,0.007814865,0.0522948],"study_design_scores_gemma":[0.0000239,0.00003368255,0.0006877265,0.9759989,0.002326492,0.00007329418,0.0003933691,0.00003252021,0.00009514605,0.0002060359,0.02011635,0.00001255805],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002226462,0.9655097,0.002462653,0.005886387,0.00289927,0.01010576,0.005872795,0.00008669483,0.004950254],"genre_scores_gemma":[0.0108041,0.9608463,0.007156126,0.003118194,0.0006768386,0.01460685,0.001926082,0.00005035373,0.0008151435],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05518986,"threshold_uncertainty_score":0.2918754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108120139574621,"score_gpt":0.3752644317746506,"score_spread":0.2671442922000296,"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."}}