{"id":"W7000994366","doi":"","title":"Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"","keywords":"COPD; Immune system; Drug repositioning; microRNA; Feature selection; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004470648,0.001033172,0.001764038,0.005213479,0.0007286334,0.001574055,0.00112873,0.0009652486,0.002622672],"category_scores_gemma":[0.009570493,0.0004010281,0.003008332,0.003306664,0.0005293869,0.0006304438,0.001136513,0.001578709,0.0005606261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347253,"about_ca_system_score_gemma":0.001899662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926095,"about_ca_topic_score_gemma":0.001852266,"domain_scores_codex":[0.9961776,0.001572325,0.0003383179,0.001261028,0.0004256991,0.0002250425],"domain_scores_gemma":[0.9944361,0.004068504,0.0007179131,0.0003031116,0.0003005002,0.0001737547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005521299,0.003036964,0.3738003,0.002194504,0.006486958,0.003282698,0.0005399919,0.09541815,0.03977292,0.009139352,0.01295834,0.4478484],"study_design_scores_gemma":[0.0006301698,0.001117514,0.09717452,0.0001624374,0.002640364,0.002645589,0.0003633544,0.8523308,0.008254712,0.02501067,0.009498783,0.0001710923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3982379,0.005515382,0.5742465,0.00416894,0.000316523,0.00076011,0.009313924,0.005056591,0.002384112],"genre_scores_gemma":[0.7245975,0.0008496543,0.2642337,0.001020811,0.0001827062,0.000575536,0.007701743,0.0001813712,0.00065709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005213479,"threshold_uncertainty_score":0.02364331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683821079625038,"score_gpt":0.5030971004436747,"score_spread":0.3347149924811709,"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."}}