{"id":"W4404758944","doi":"10.1002/dmrr.70009","title":"Prediction Model for Polyneuropathy in Recent‐Onset Diabetes Based on Serum Neurofilament Light Chain, Fibroblast Growth Factor‐19 and Standard Anthropometric and Clinical Variables","year":2024,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsches Zentrum für Diabetesforschung; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Bundesministerium für Gesundheit; Deutsche Diabetes Gesellschaft; Bundesministerium für Bildung und Forschung","keywords":"Medicine; Logistic regression; Diabetes mellitus; Internal medicine; Population; Anthropometry; Waist; Endocrinology; Body mass index","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003733844,0.001108578,0.0008599173,0.0007764624,0.0002737927,0.0009034963,0.0007574723,0.0008036118,0.001756026],"category_scores_gemma":[0.003723843,0.0002659008,0.0009334544,0.0003079239,0.0003107628,0.0003523887,0.0006228532,0.001209204,0.0004731144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005896807,"about_ca_system_score_gemma":0.0008834532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00630989,"about_ca_topic_score_gemma":0.002223255,"domain_scores_codex":[0.9994424,0.0002645511,0.00003202294,0.0001324665,0.0000506454,0.0000778356],"domain_scores_gemma":[0.9975882,0.001691275,0.0002747634,0.00005365318,0.0002813575,0.0001108683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001149125,0.0003347119,0.0905212,0.00009329146,0.0004684879,0.000369979,0.000124764,0.8736835,0.001774386,0.0006290178,0.002106085,0.02874548],"study_design_scores_gemma":[0.00003058504,0.0001149196,0.00468209,0.00001256248,0.00004787,0.00004984115,0.00001591499,0.9943873,0.0001481296,0.0003823606,0.0001184208,0.000009903738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312827,0.0009853397,0.1624217,0.00172062,0.0001099711,0.0001171985,0.001087785,0.0008050911,0.001469528],"genre_scores_gemma":[0.9876979,0.0001438756,0.01003857,0.0001011272,0.00003291134,0.0001285866,0.000853116,0.00002410828,0.000979695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00630989,"threshold_uncertainty_score":0.01974666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08990158898327381,"score_gpt":0.3819545650664217,"score_spread":0.2920529760831478,"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."}}