{"id":"W4388850922","doi":"10.1111/acel.14041","title":"Age‐related nitration/dysfunction of myogenic stem cell activator HGF","year":2023,"lang":"en","type":"article","venue":"Aging Cell","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Japan Society for the Promotion of Science; SEI Group CSR Foundation; Uehara Memorial Foundation","keywords":"Hepatocyte growth factor; Biology; Sarcopenia; Cell biology; Stem cell; Extracellular; Muscle atrophy; Nitration; Internal medicine; Endocrinology; Skeletal muscle; Receptor; Biochemistry; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008760433,0.00009047153,0.00008860835,0.00004332766,0.00006143862,0.000004924308,0.00008887715,0.0001186247,0.00003505767],"category_scores_gemma":[0.000004882545,0.00009149589,0.00007376434,0.000149655,0.0000457234,0.000003641461,0.00004442925,0.00007033689,0.0000750031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004255073,"about_ca_system_score_gemma":0.00003519577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001905855,"about_ca_topic_score_gemma":0.000005090701,"domain_scores_codex":[0.9993849,0.00004721272,0.000141596,0.0002122103,0.00005911539,0.0001549165],"domain_scores_gemma":[0.9996399,0.00001470163,0.00007568429,0.0002087728,0.0000278122,0.00003318016],"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":[0.00003192342,0.00004063964,0.001066264,0.00003719609,0.00002073083,0.000001596136,0.00009687299,0.0003587242,0.9950949,0.0000183578,0.002514717,0.0007180832],"study_design_scores_gemma":[0.0005323891,0.0001281989,0.007235744,0.000005643332,0.000019211,6.870919e-7,0.000215287,0.0001245124,0.9873825,0.0002206236,0.004004941,0.0001302112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937711,0.0002259048,0.0001359116,0.0000437753,0.000195155,0.00008516107,0.000004538782,0.00003415114,0.005504252],"genre_scores_gemma":[0.9954248,0.0001017256,0.00002290621,0.00008586413,0.00004589106,0.000007934028,0.0002026674,0.00001485438,0.004093353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007712342,"threshold_uncertainty_score":0.3731094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008178566418122644,"score_gpt":0.2177240289381845,"score_spread":0.2095454625200619,"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."}}