{"id":"W4403483354","doi":"10.3390/curroncol31100456","title":"Searching for New Biomarkers of Neuroendocrine Tumors: A Comparative Analysis of Chromogranin A and Inflammatory Cytokines in Patients with Neuroendocrine Tumors","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chromogranin A; Medicine; Cytokine; Tumor necrosis factor alpha; Neuroendocrine tumors; Proinflammatory cytokine; Biomarker; Cohort; Malignancy; Interleukin 6; Inflammation; Internal medicine; Immunology; Oncology; Pathology; Immunohistochemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012211,0.0002915223,0.001229769,0.001946577,0.00003278298,0.00001656311,0.0001704469,0.000006043075,0.00003101934],"category_scores_gemma":[0.0003247529,0.0002320835,0.0001803215,0.00190274,0.000428688,0.0001778066,0.000155292,0.0003997798,9.857183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047484,"about_ca_system_score_gemma":0.0004394058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009492916,"about_ca_topic_score_gemma":0.0003346193,"domain_scores_codex":[0.997461,0.0002107893,0.0007458282,0.0005908203,0.0004404966,0.0005511028],"domain_scores_gemma":[0.9982659,0.0007411723,0.0002198136,0.0002880961,0.0002141459,0.0002709346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006989857,0.001233577,0.957592,0.003151534,0.001425898,0.002797987,0.0005754641,0.0002800943,0.003312379,0.0005837202,0.0006382117,0.0214193],"study_design_scores_gemma":[0.01274491,0.01120958,0.9406074,0.001222085,0.001487677,0.0004695446,0.0003232553,0.00859763,0.006188987,0.0001524026,0.01661429,0.0003822903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962507,0.001299582,0.00004890143,0.0004625465,0.0001345695,0.001560831,0.00009383061,0.00004797379,0.0001010862],"genre_scores_gemma":[0.9991527,0.0001263083,0.0003779005,0.00001902912,0.00005879852,0.00009643204,0.0001021972,0.00003175646,0.00003492282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02103701,"threshold_uncertainty_score":0.9464089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639114099497729,"score_gpt":0.4009849307247935,"score_spread":0.3445937897298162,"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."}}