{"id":"W6908615975","doi":"10.26226/morressier.5b9a8cfedbd47e000fbf5894","title":"Implementation of a Malnutrition Screening Risk Tool in The Stroke Prevention Clinic At Toronto Western Hospital To Identify Malnutrition Risk : a Quality Improvement Project","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malnutrition; Stroke (engine); Intervention (counseling); Weight loss; Outpatient clinic; Quality of life (healthcare)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003922652,0.0004995284,0.0007171145,0.004008847,0.0006598871,0.004449909,0.005266544,0.0004079793,0.0007472801],"category_scores_gemma":[0.0001460809,0.0004284981,0.000299405,0.002877239,0.000234186,0.01630188,0.004131576,0.0009129737,0.00009138812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372245,"about_ca_system_score_gemma":0.0009969783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798823,"about_ca_topic_score_gemma":0.004694047,"domain_scores_codex":[0.9919881,0.002856351,0.001203246,0.001501388,0.001559906,0.0008909762],"domain_scores_gemma":[0.9955079,0.0003331555,0.001781829,0.002126486,0.0001064656,0.0001441731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002981068,0.0005016188,0.0557477,0.0006882685,0.0001401109,0.00002661868,0.0007012139,3.072673e-7,0.0001209197,0.0002835668,0.7330105,0.208481],"study_design_scores_gemma":[0.0135497,0.007925164,0.4211115,0.006796236,0.0002127242,0.00004780665,0.004039567,0.0002159199,0.01367738,0.01015985,0.519106,0.003158168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4740795,0.01675295,0.07306463,0.01650868,0.005773516,0.07734836,0.01921401,0.003103607,0.3141548],"genre_scores_gemma":[0.0703534,0.03056176,0.1746809,0.0005201603,0.002412382,0.007258907,0.008011516,0.001170063,0.7050309],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.403726,"threshold_uncertainty_score":0.9998167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08591658408406262,"score_gpt":0.4435019919067181,"score_spread":0.3575854078226555,"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."}}