{"id":"W4375862449","doi":"10.1161/circresaha.122.322325","title":"Transcriptomic and Proteomic of Gastrocnemius Muscle in Peripheral Artery Disease","year":2023,"lang":"en","type":"article","venue":"Circulation Research","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health","keywords":"Glycolysis; Transcriptome; Biology; Gastrocnemius muscle; Mitochondrion; Skeletal muscle; Internal medicine; Hypoxia (environmental); Endocrinology; Medicine; Cell biology; Biochemistry; Metabolism; Gene expression; Chemistry","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":[0.0002901313,0.0002710184,0.0002162517,0.0007465712,0.0002423925,0.0002418878,0.0001497543,0.0002733352,0.0006739525],"category_scores_gemma":[0.0003170236,0.0001127442,0.0002112286,0.000607971,0.0001706541,0.0001598688,0.0002984327,0.0002110096,0.0002080415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608455,"about_ca_system_score_gemma":0.0001642349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005627032,"about_ca_topic_score_gemma":0.0009558927,"domain_scores_codex":[0.9998612,0.00002258715,0.00001253534,0.00004853376,0.00003439288,0.00002064444],"domain_scores_gemma":[0.9998816,0.00001649185,0.00004614222,0.000008935989,0.00003041273,0.00001635704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001019745,0.00006381483,0.08636747,0.0005874994,0.0001360258,0.0005694809,0.0002668365,0.0003153388,0.8980713,0.0001230975,0.0005838755,0.01189547],"study_design_scores_gemma":[0.00002197049,0.0003076311,0.9535132,0.00006792364,0.0001439947,0.00166717,0.0003352576,0.001391908,0.03934458,0.0003327824,0.002860338,0.0000133386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918489,0.002947522,0.001724553,0.0001554481,0.00002564976,0.00002748246,0.002663338,0.00002691347,0.000580093],"genre_scores_gemma":[0.9857429,0.002954795,0.004527533,0.0002110876,0.0000485602,0.0001061233,0.005027276,0.00001104818,0.001370584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007465712,"threshold_uncertainty_score":0.002254605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06028221462854453,"score_gpt":0.3526323929459175,"score_spread":0.292350178317373,"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."}}