{"id":"W2515598053","doi":"10.7150/thno.15929","title":"Targeting Amino Acid Metabolism for Molecular Imaging of Inflammation Early After Myocardial Infarction","year":2016,"lang":"en","type":"article","venue":"Theranostics","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Methionine; Inflammation; Medicine; Ventricle; Myocardial infarction; Perfusion; Infarction; Internal medicine; Ligation; Pathology; Amino acid; Cardiology; Chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503296,0.0004396271,0.0005465717,0.0004245856,0.0001801913,0.0004938448,0.0003106422,0.0008150468,0.001827493],"category_scores_gemma":[0.0001887217,0.000332938,0.0003132489,0.000337815,0.000259646,0.0004200265,0.0003391425,0.001116456,0.0004748364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004163115,"about_ca_system_score_gemma":0.0003744351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000785319,"about_ca_topic_score_gemma":0.001764763,"domain_scores_codex":[0.9998306,0.00005400397,0.000007514692,0.00003675653,0.00002453538,0.00004652495],"domain_scores_gemma":[0.9999191,0.0000163484,0.00002241939,0.000008172094,0.00001502284,0.00001903489],"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":[0.0006721626,0.00004134382,0.0003875603,0.000128866,0.00001163123,0.00004815909,0.00002039484,0.00008451605,0.9935109,0.0001256569,0.0001237022,0.004845176],"study_design_scores_gemma":[0.0001132211,0.002044976,0.01538263,0.00008368202,0.0001482426,0.001135708,0.00009306461,0.004172245,0.96872,0.0002701111,0.00780407,0.00003208088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888612,0.0612523,0.04162133,0.0009271706,0.0002218653,0.0002389269,0.0009569759,0.0004876894,0.005681778],"genre_scores_gemma":[0.9227551,0.0265145,0.04308502,0.0003876531,0.00009574493,0.000323892,0.001053853,0.0001122015,0.00567208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827493,"threshold_uncertainty_score":0.006113648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004496215336687336,"score_gpt":0.2215408585242954,"score_spread":0.217044643187608,"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."}}