{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005280569,0.0002697223,0.0002932003,0.0008662294,0.0001609816,0.0004669832,0.0001637418,0.000400307,0.0008922248],"category_scores_gemma":[0.0007522639,0.000102748,0.0001376901,0.0004260529,0.0001733192,0.0002054607,0.0002704013,0.0003064788,0.0001378178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688809,"about_ca_system_score_gemma":0.0001456587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00028112,"about_ca_topic_score_gemma":0.0003087879,"domain_scores_codex":[0.9997988,0.00008423743,0.00001508768,0.00002927354,0.00004121649,0.00003124311],"domain_scores_gemma":[0.9997374,0.00006057078,0.00008869387,0.00001681244,0.00004759867,0.00004893761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001465016,0.0002300888,0.874946,0.0001086632,0.0001824455,0.0004532037,0.0001207734,0.0002113962,0.09954823,0.0002457513,0.0006272283,0.02186109],"study_design_scores_gemma":[0.00009602409,0.001359093,0.9499632,0.0000405768,0.0002643506,0.002541667,0.000308853,0.007887485,0.03359303,0.0006296283,0.003291116,0.00002507008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971493,0.001390817,0.0007987709,0.00008456692,0.0000170142,0.000009552189,0.0000841505,0.00001569982,0.000450179],"genre_scores_gemma":[0.9983914,0.0002442354,0.0008657096,0.00005011812,0.00002901812,0.000009869746,0.0001201754,0.000001515986,0.0002877826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008922248,"threshold_uncertainty_score":0.002984762,"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."}}