{"id":"W2103425169","doi":"10.1152/ajpendo.2000.278.6.e1067","title":"Abundance and subcellular distribution of MCT1 and MCT4 in heart and fast-twitch skeletal muscles","year":2000,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Waterloo","funders":"","keywords":"Skeletal muscle; Glycolysis; Sarcolemma; Endoplasmic reticulum; Messenger RNA; Intracellular; Muscle fibre; Chemistry; Biology; Internal medicine; Endocrinology; Biochemistry; Gene; Metabolism","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":[0.0001877074,0.0002067416,0.001091485,0.0001556175,0.00007003779,0.000005753512,0.00005931803,0.00007766749,0.0000338862],"category_scores_gemma":[0.00005731686,0.0001664374,0.00006538686,0.000164047,0.001612625,0.000148847,0.00004714432,0.0004275325,0.00000113259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006421362,"about_ca_system_score_gemma":0.00004693359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410472,"about_ca_topic_score_gemma":0.000006086843,"domain_scores_codex":[0.9986035,0.0001888478,0.000475397,0.0002781447,0.0001010114,0.0003530737],"domain_scores_gemma":[0.999216,0.0001110982,0.0002632147,0.0001419622,0.00008217419,0.0001855198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001106365,0.0002436202,0.02557248,0.0001107688,0.0002834825,0.0000873,0.001234997,0.000003397544,0.5351604,0.002782334,0.0001031223,0.4333118],"study_design_scores_gemma":[0.002517441,0.0006654347,0.9653593,0.00005690787,0.000269729,0.002255475,0.000521518,0.00001354782,0.003673133,0.0009191208,0.02360607,0.000142303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644666,0.03422121,0.00001763801,0.001026059,0.00008738177,0.000122259,0.00001546008,0.000007350624,0.00003600646],"genre_scores_gemma":[0.9733922,0.02542905,0.0006270554,0.0002917347,0.0001686308,0.000003341025,0.000006591655,0.00001229723,0.00006902737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9397869,"threshold_uncertainty_score":0.6787122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006774331299721114,"score_gpt":0.249400986299017,"score_spread":0.2426266549992959,"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."}}