{"id":"W4367674662","doi":"10.1055/s-0043-1767922","title":"Prediction of polyneuropathy in recent-onset diabetes: A machine learning algorithm using blood-based protein biomarkers and standard demographic and clinical features","year":2023,"lang":"en","type":"article","venue":"Diabetologie und Stoffwechsel","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Polyneuropathy; Medicine; Algorithm; Machine learning; Internal medicine; Computer science; Artificial intelligence; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.001183026,0.0002435008,0.000607667,0.0005766366,0.0001141193,0.00002000839,0.0000621069,0.0002379378,0.000005076206],"category_scores_gemma":[0.0008411727,0.0002067923,0.00009074458,0.0008172996,0.0002413687,0.00006067194,0.00007100099,0.0003988563,6.476376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003212103,"about_ca_system_score_gemma":0.0001076169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006755776,"about_ca_topic_score_gemma":0.00001759896,"domain_scores_codex":[0.9979362,0.0004169686,0.0004678419,0.0004937464,0.0002627577,0.0004224234],"domain_scores_gemma":[0.9990225,0.0003575042,0.0001759629,0.0002123831,0.00006967127,0.0001619546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002040446,0.0002334326,0.9415967,0.0001349691,0.0003390675,0.0001490301,0.00003383406,0.000006418745,0.006241645,0.000006641012,0.00001548867,0.0510387],"study_design_scores_gemma":[0.008486325,0.003138757,0.9300368,0.0006126374,0.0008294145,0.00001634232,0.0001319622,0.04663019,0.009266688,0.0004030418,0.0001881182,0.000259704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952299,0.002975589,0.0002502637,0.0002414527,0.0001015157,0.0007639104,0.00025316,0.0001703873,0.0000137983],"genre_scores_gemma":[0.9897953,0.001309312,0.008517439,0.00009143923,0.00002039763,0.00003596855,0.0001739489,0.0000368182,0.00001939718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05077899,"threshold_uncertainty_score":0.8432745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203659206131734,"score_gpt":0.3154107552127221,"score_spread":0.2733741631514048,"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."}}