{"id":"W4388114997","doi":"10.1016/j.freeradbiomed.2023.10.180","title":"Platelet Bioenergetics as a Liquid Biopsy for Cardiometabolic Disease","year":2023,"lang":"en","type":"article","venue":"Free Radical Biology and Medicine","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bioenergetics; Platelet; Medicine; Internal medicine; Cardiology; Chemistry; Biochemistry; Mitochondrion","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":[0.001441689,0.0008791198,0.0009279665,0.002508045,0.0006189502,0.001910855,0.000601348,0.001313447,0.002614642],"category_scores_gemma":[0.002179902,0.0003288306,0.0004117806,0.0009624625,0.0005946848,0.0008438625,0.000565924,0.001686834,0.001216397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535985,"about_ca_system_score_gemma":0.0004353223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009448139,"about_ca_topic_score_gemma":0.001588481,"domain_scores_codex":[0.9986198,0.0006539493,0.0000815327,0.0001250819,0.0004278479,0.00009180809],"domain_scores_gemma":[0.9989777,0.0004398602,0.0001111081,0.00006682109,0.0002459525,0.0001586232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01243858,0.0009463415,0.4487054,0.0008632535,0.0004682004,0.01378694,0.0008624829,0.000728248,0.2621066,0.002106003,0.007691395,0.2492966],"study_design_scores_gemma":[0.0008130599,0.01216148,0.4743207,0.002288755,0.00172415,0.05478963,0.004672505,0.03594142,0.3597373,0.007107912,0.04615562,0.0002873878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8324307,0.08186772,0.04856969,0.005135318,0.002081437,0.0006028764,0.001572091,0.001479601,0.02626055],"genre_scores_gemma":[0.9626561,0.006710844,0.02122799,0.002554197,0.0007784922,0.0002520356,0.0004916172,0.0001228235,0.005205873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002614642,"threshold_uncertainty_score":0.008746862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794334311467006,"score_gpt":0.3117141184971952,"score_spread":0.2937707753825251,"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."}}