{"id":"W2082388539","doi":"10.1152/ajpheart.00424.2006","title":"AMPK and metabolic adaptation by the heart to pressure overload","year":2006,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"AMPK; Pressure overload; Adaptation (eye); Cardiology; Internal medicine; Medicine; Cell biology; Heart failure; Biology; Protein kinase A; Neuroscience; Cardiac hypertrophy; Phosphorylation","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":[0.0002193554,0.0002264069,0.0001880183,0.0002051315,0.0001094789,0.000219291,0.0001149092,0.0002435721,0.0005673873],"category_scores_gemma":[0.0001748605,0.0001594693,0.0001981105,0.00009283566,0.0002900297,0.0002983954,0.0002619612,0.0003261975,0.00008432347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448884,"about_ca_system_score_gemma":0.00009177773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001901044,"about_ca_topic_score_gemma":0.0002035814,"domain_scores_codex":[0.9999266,0.00001889292,0.000006640094,0.00001466703,0.00001546724,0.00001775255],"domain_scores_gemma":[0.9998993,0.00001691914,0.00004186441,0.00001044068,0.000008570516,0.00002293545],"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":[0.001575597,0.00004710486,0.006039109,0.0001115949,0.00003663226,0.0003561222,0.00006253724,0.0003454892,0.9856053,0.0003559378,0.0000495747,0.005414915],"study_design_scores_gemma":[0.0002159663,0.002580861,0.6811976,0.00004077305,0.0001395651,0.001938367,0.0002772069,0.004968713,0.303055,0.002646242,0.002898166,0.00004163191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947386,0.003434821,0.001038634,0.0001591626,0.00002420084,0.000009365057,0.00004825744,0.00001295563,0.0005339893],"genre_scores_gemma":[0.9965888,0.002067953,0.0005939965,0.00007939528,0.00005906957,0.00001744815,0.00008122904,0.000004142812,0.0005078514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005673873,"threshold_uncertainty_score":0.00189805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006178488458023076,"score_gpt":0.2268308871186688,"score_spread":0.2206523986606457,"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."}}