{"id":"W2978208530","doi":"10.1097/md.0000000000016755","title":"Recovery of malnutrition in a patient with severe brain injury outcomes","year":2019,"lang":"en","type":"article","venue":"Medicine","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Malnutrition; Underweight; Rehabilitation; Percutaneous endoscopic gastrostomy; Weight loss; Caloric theory; Intensive care medicine; Medical nutrition therapy; Pediatrics; Physical therapy; Internal medicine; PEG ratio; Obesity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001568035,0.00007432017,0.0003060559,0.000136738,0.000006542903,0.000001201408,0.0000479266,0.00005212521,0.0002314236],"category_scores_gemma":[0.0001627404,0.00005176839,0.00003108269,0.000123334,0.00006850561,0.00004093213,0.00001301313,0.0001298095,0.00001088038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002848358,"about_ca_system_score_gemma":0.000001950598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007056641,"about_ca_topic_score_gemma":0.00009568052,"domain_scores_codex":[0.9991764,0.00007906702,0.000323428,0.0001441505,0.0001454565,0.0001314937],"domain_scores_gemma":[0.9994448,0.0002404891,0.0000945957,0.0001478103,0.00003364487,0.00003869479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005977886,0.0005087112,0.9228192,0.0001571331,0.00001875886,0.00002192272,0.0003530707,0.00001258908,0.002478031,0.00001375351,0.05653919,0.01109978],"study_design_scores_gemma":[0.01904801,0.02488545,0.9291664,0.001809753,0.00003647366,0.00009123805,0.0008022166,0.00007787721,0.0007345231,0.001509087,0.02165412,0.0001848598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450394,0.00002463724,0.00001380864,0.154171,0.0003211803,0.0002056422,0.000008620375,0.0000122942,0.0002034359],"genre_scores_gemma":[0.9742956,0.000006399551,0.0001844751,0.02539604,0.00003724613,0.000006264796,0.00002285548,0.000007706118,0.00004347844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292562,"threshold_uncertainty_score":0.2533926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389163418258798,"score_gpt":0.2939733551757324,"score_spread":0.2800817209931444,"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."}}