{"id":"W4383645881","doi":"10.1002/mco2.320","title":"Identification of circulating T‐cell immunoglobulin and mucin domain 4 as a potential biomarker for coronary heart disease","year":2023,"lang":"en","type":"article","venue":"MedComm","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"Fundamental Research Funds for the Central Universities; Tianjin Science and Technology Committee; Nankai University; National Natural Science Foundation of China","keywords":"Biomarker; Mucin; Identification (biology); Antibody; Coronary heart disease; Medicine; Immunology; Internal medicine; Biology; Pathology; Genetics","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":[0.0003368375,0.0000966154,0.0001746545,0.00008225763,0.0001549498,0.000007113083,0.00009567421,0.0001088674,0.0001064644],"category_scores_gemma":[0.00005340792,0.00009132235,0.00007246717,0.0001238223,0.0001429376,0.00003021312,0.0000719413,0.00007095622,0.0000691513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444171,"about_ca_system_score_gemma":0.00004217486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006574851,"about_ca_topic_score_gemma":0.000005514115,"domain_scores_codex":[0.9991328,0.0001248954,0.0002725869,0.0002293192,0.00002259722,0.0002177903],"domain_scores_gemma":[0.9995337,0.00009420042,0.000106978,0.0001993651,0.00004354078,0.00002217783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003385952,0.00005197328,0.01121847,0.00005672242,0.00004698744,0.000003649994,0.0001596935,0.000007088358,0.9828427,0.0001376811,0.002198773,0.002937651],"study_design_scores_gemma":[0.003063514,0.0002810979,0.9207139,0.00003626186,0.00009880192,0.00009533106,0.0007647955,0.0001544475,0.05468657,0.005610718,0.01422416,0.0002704021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949728,0.002952355,0.0003594857,0.0007318993,0.0004859988,0.0003156977,0.00007126528,0.00004992777,0.00006062922],"genre_scores_gemma":[0.9985764,0.00004834869,0.00004176808,0.0001067957,0.00001820578,0.00006856721,0.000270216,0.00001235654,0.0008573461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9281561,"threshold_uncertainty_score":0.3724017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122766024938558,"score_gpt":0.2629406875806298,"score_spread":0.250664085086774,"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."}}