{"id":"W4376150276","doi":"10.1016/j.acvdsp.2023.03.010","title":"Linking platelet lipidome and inflammatory response in septic patients","year":2023,"lang":"en","type":"article","venue":"Archives of Cardiovascular Diseases Supplements","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Lipidome; Sepsis; Platelet; Lipidomics; Phosphorylation; Inflammation; Medicine; Platelet activation; Lipid signaling; CD63; Immunology; Lipid metabolism; Internal medicine; Biochemistry; Biology; Microvesicles","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":[0.000314942,0.0002167413,0.0005957764,0.000628102,0.00006745385,0.00001505912,0.0001214241,0.00004077358,0.00004096349],"category_scores_gemma":[0.0003810547,0.0002087709,0.0005257577,0.0003273806,0.0001586577,0.0001507533,0.0001573571,0.00008673745,0.00001880755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001978534,"about_ca_system_score_gemma":0.0001398302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002106543,"about_ca_topic_score_gemma":0.000002438663,"domain_scores_codex":[0.9978859,0.0002525676,0.0004983422,0.0003625595,0.0006242964,0.0003763017],"domain_scores_gemma":[0.9988034,0.0002377283,0.00009270525,0.0005320724,0.00005400816,0.0002800482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002456819,0.0002254761,0.9517512,0.0008115564,0.001455499,0.0001403505,0.00086214,0.0006693691,0.0002564983,0.00006077316,0.0001559985,0.04115426],"study_design_scores_gemma":[0.006058386,0.0001304936,0.9648512,0.0003180839,0.0005274745,0.000004305769,0.0001383289,0.0002530119,0.0001924397,0.0003055249,0.02703565,0.0001850721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995495,0.00291219,0.00004544509,0.00003812111,0.0001171073,0.0007813451,0.0002855763,0.00007986548,0.0002454117],"genre_scores_gemma":[0.9968153,0.001765105,0.0001623993,0.00004469563,0.0001263368,0.00009398815,0.0008628457,0.00003857461,0.00009077261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04096919,"threshold_uncertainty_score":0.8513431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008137352698912447,"score_gpt":0.2404908085944006,"score_spread":0.2323534558954882,"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."}}