{"id":"W4397011710","doi":"10.3390/ijms25105457","title":"FGF23 as a Potential Pathophysiological Factor in Peripheral Arterial Disease Associated with Chronic Kidney Disease","year":2024,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundación Canaria Instituto de Investigación Sanitaria de Canarias; Instituto de Salud Carlos III; CMG Reservoir Simulation Foundation","keywords":"Medicine; Kidney disease; Inflammation; Fibroblast growth factor 23; Internal medicine; Tumor necrosis factor alpha; Systemic inflammation; Endocrinology; Renal function; Immunology; Parathyroid hormone","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003686037,0.0003458908,0.0004072537,0.001168042,0.0002692752,0.0005339315,0.0001928804,0.0003277418,0.001082609],"category_scores_gemma":[0.0009607757,0.00009822765,0.0003732922,0.001225361,0.0002055448,0.0001835324,0.0002511528,0.0003582081,0.00009541928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227294,"about_ca_system_score_gemma":0.0002532018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195222,"about_ca_topic_score_gemma":0.001331467,"domain_scores_codex":[0.9997554,0.00007773933,0.00002729402,0.00004601671,0.00006218464,0.00003135037],"domain_scores_gemma":[0.9996511,0.00007670058,0.0001504402,0.00001694596,0.00004814975,0.00005679474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143804,0.00008098028,0.9696224,0.0002124726,0.0002905744,0.001711093,0.0001751257,0.0002033956,0.007186676,0.0001680337,0.0002006448,0.01871056],"study_design_scores_gemma":[0.00001929708,0.000316562,0.9942048,0.00003349732,0.0001934721,0.002441338,0.00009146978,0.0005757704,0.000664275,0.0001888444,0.001260057,0.0000105597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783254,0.01892747,0.0008531444,0.0001348373,0.00003307137,0.00002705423,0.0003460089,0.00001708888,0.001335958],"genre_scores_gemma":[0.9974363,0.001517344,0.000564451,0.0000296026,0.00004866635,0.000013471,0.0001460009,0.000001906826,0.0002422967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00195222,"threshold_uncertainty_score":0.003881752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101864625173797,"score_gpt":0.2982001128172811,"score_spread":0.2871814665655431,"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."}}