{"id":"W1958231052","doi":"10.1111/hdi.12260","title":"Effect of personalized nutritional counseling in maintenance hemodialysis patients","year":2015,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hemodialysis; Intensive care medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004863094,0.0001796595,0.0003702332,0.0001926427,0.000285506,0.0002802604,0.0001829017,0.0003657671,0.001219626],"category_scores_gemma":[0.00199715,0.00006503716,0.0003376472,0.0002083343,0.00007170098,0.0001619193,0.0002910799,0.0003490858,0.00008999451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505735,"about_ca_system_score_gemma":0.0004154011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002163477,"about_ca_topic_score_gemma":0.002374681,"domain_scores_codex":[0.9995984,0.0002195197,0.00002575302,0.00006098638,0.00005732874,0.00003803165],"domain_scores_gemma":[0.9993149,0.0001947103,0.0001630121,0.00004552424,0.00004837783,0.0002335524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02434983,0.01839194,0.3684155,0.0005434824,0.0006837872,0.0003421693,0.0006333483,0.001653856,0.002734308,0.0001438513,0.002154076,0.5799538],"study_design_scores_gemma":[0.001353797,0.01886971,0.9710939,0.0002315141,0.0006393734,0.0003216027,0.0003031207,0.002318669,0.0008842461,0.0001802222,0.003782014,0.00002192326],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969811,0.001299392,0.0001754473,0.0002902682,0.00004131069,0.00004370208,0.00008275145,0.00003416151,0.001051774],"genre_scores_gemma":[0.9987819,0.0003048424,0.0004312571,0.0001488041,0.00003730047,0.00002612634,0.00007452772,0.000001598449,0.000193694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002163477,"threshold_uncertainty_score":0.004301727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217604652579823,"score_gpt":0.2749264525521739,"score_spread":0.2627504060263756,"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."}}