{"id":"W4407180302","doi":"10.1097/aia.0000000000000476","title":"Perioperative Biomarkers: Updates, Utility, and Future Directions","year":2025,"lang":"en","type":"article","venue":"International Anesthesiology Clinics","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Perioperative; Intensive care medicine; MEDLINE; Surgery","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":[0.0003212774,0.0001418728,0.0004459964,0.000147656,0.00009733243,0.00002391892,0.00009900278,0.0002092726,0.0002943062],"category_scores_gemma":[0.0002983789,0.0001079994,0.0002213069,0.0001386192,0.0002402212,0.00005553654,0.00005097567,0.0002012134,0.00003492805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003130284,"about_ca_system_score_gemma":0.0001004379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729073,"about_ca_topic_score_gemma":0.000008313117,"domain_scores_codex":[0.9989815,0.000114463,0.0003277132,0.0003136135,0.0001200953,0.0001426072],"domain_scores_gemma":[0.9988071,0.0007174427,0.00005218037,0.0001766756,0.0001684449,0.00007811815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005961732,0.0001847807,0.8458954,0.00001945005,0.0005762007,0.0002046056,0.0001564132,2.928087e-7,0.00003614353,0.0532148,0.001095921,0.09801979],"study_design_scores_gemma":[0.0005172346,0.00005997898,0.4161066,0.00001509998,0.00005421992,0.000202384,0.0001391031,0.00009470774,0.00001642143,0.0002302824,0.5825082,0.00005576749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8577796,0.003167607,0.00003541749,0.05928712,0.001503126,0.0003182947,0.00001348517,0.0001201481,0.07777519],"genre_scores_gemma":[0.9395295,0.009774553,0.00205034,0.01930585,0.001167447,0.00007229999,0.0002024339,0.00002627113,0.02787132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5814123,"threshold_uncertainty_score":0.4404089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411129473974248,"score_gpt":0.3272120535800118,"score_spread":0.3131007588402693,"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."}}