{"id":"W4411609441","doi":"10.1021/acsomega.5c02356","title":"From Lab to Clinical Application: Establishing a “Gold” Touchstone for Lung Cancer Biomarker-CEA to Advance Diagnostic","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada)","funders":"Fundamental Research Funds for the Central Universities","keywords":"Lung cancer; Biomarker; Medicine; Gold standard (test); Cancer; Oncology; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001424741,0.0001321037,0.0002191663,0.00008470034,0.00005205375,0.00007123809,0.000177753,0.0001103109,0.000006863387],"category_scores_gemma":[0.0007645962,0.0001351864,0.00006742774,0.0005640999,0.00001479263,0.0001142082,0.00005611762,0.0001250576,0.00002290671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035719,"about_ca_system_score_gemma":0.0000176817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002331084,"about_ca_topic_score_gemma":0.0002804197,"domain_scores_codex":[0.9990182,0.0000132725,0.0003073243,0.0003210707,0.00009429113,0.000245838],"domain_scores_gemma":[0.9985851,0.0008944692,0.00002092894,0.0002856742,0.00007023977,0.0001435826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001690617,0.0001360527,0.009091481,0.0003295957,0.0003450106,0.000006480132,0.0002170958,0.02484774,0.03659821,0.001117666,0.1540987,0.7730429],"study_design_scores_gemma":[0.001379182,0.0001109537,0.04635186,0.000572868,0.0002472394,7.839675e-7,0.0001060671,0.2427,0.01614377,0.001649393,0.68993,0.0008078946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5554488,0.001217179,0.4355518,0.004009429,0.00161807,0.0008896413,0.0001822519,0.0003376384,0.0007452397],"genre_scores_gemma":[0.993037,0.0001364923,0.004213293,0.000975769,0.0005194535,0.0004357002,0.00001571045,0.00002596138,0.0006406061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.772235,"threshold_uncertainty_score":0.5512741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166246017471774,"score_gpt":0.3207955427130172,"score_spread":0.3091330825382995,"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."}}