{"id":"W2904483155","doi":"10.1097/01.ccm.0000552395.85022.a1","title":"1655: PROTEIN C IS A POTENT BIOMARKER TO IDENTIFY HIGH-RISK PATIENTS WITH SEPSIS-ASSOCIATED COAGULOPATHY","year":2018,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Anesthesia and Pain Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine","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":[0.0009936587,0.0008137205,0.0006179841,0.001418354,0.0005921329,0.001368849,0.0004645477,0.001549714,0.008255634],"category_scores_gemma":[0.003892532,0.0001819784,0.0004794891,0.0007477001,0.0002072619,0.0005433899,0.0005840991,0.0007871711,0.00296283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571104,"about_ca_system_score_gemma":0.000578095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220049,"about_ca_topic_score_gemma":0.001131131,"domain_scores_codex":[0.9993634,0.0001293596,0.00007771759,0.000122958,0.0002216918,0.00008496835],"domain_scores_gemma":[0.9988832,0.0002582917,0.0002744173,0.00004563513,0.0002887912,0.000249603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0055103,0.0004357686,0.7686495,0.0004475006,0.0004724469,0.001590619,0.000195369,0.001079785,0.02646742,0.000831992,0.03667021,0.1576491],"study_design_scores_gemma":[0.00035747,0.001727168,0.9373606,0.0003417513,0.0004284072,0.006936567,0.0002218153,0.004290602,0.01966842,0.001386413,0.0271268,0.0001539582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454108,0.0151817,0.003327928,0.008067477,0.001825448,0.0002225175,0.007159665,0.0003707148,0.01843378],"genre_scores_gemma":[0.9771963,0.002310336,0.004941023,0.002570897,0.001094415,0.0001118924,0.00516076,0.00006500745,0.006549326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008255634,"threshold_uncertainty_score":0.02761781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716901282801239,"score_gpt":0.3084129431899799,"score_spread":0.2912439303619675,"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."}}