{"id":"W2737355521","doi":"10.1002/jms.3957","title":"Myofiber metabolic type determination by mass spectrometry imaging","year":2017,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat de Catalunya; Canadian Institute for Advanced Research","keywords":"Chemistry; Glycolysis; Mass spectrometry; Myocyte; Fiber type; Mass spectrometry imaging; Matrix-assisted laser desorption/ionization; Oxidative phosphorylation; Biochemistry; Metabolism; Biophysics; Fiber; Chromatography; Cell biology; Desorption; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006294609,0.000210813,0.0003579348,0.0003144714,0.0002131873,0.0001924342,0.0005740568,0.0001307812,0.0001644236],"category_scores_gemma":[0.0003590274,0.0001937658,0.0002307339,0.000164322,0.00008854274,0.00005560203,0.0000732866,0.0002706032,0.00001528155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003579187,"about_ca_system_score_gemma":0.00006208609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005765256,"about_ca_topic_score_gemma":0.000001128694,"domain_scores_codex":[0.9984927,0.00008231124,0.0004388757,0.0002577569,0.0003905721,0.0003378517],"domain_scores_gemma":[0.9982381,0.00001647083,0.0007778411,0.0005489436,0.0002640433,0.0001545731],"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":[0.0001245643,0.0000714887,0.007907091,0.00001564261,0.00007171687,0.00002625773,0.000006052785,5.131357e-7,0.9814419,0.00009862939,0.005842435,0.004393691],"study_design_scores_gemma":[0.001802067,0.0003569267,0.06305964,0.00003234263,0.0001492654,0.0002297529,0.00004427993,0.00003376773,0.8833665,0.001717586,0.04886935,0.0003384875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386116,0.01661027,0.03639121,0.001001887,0.001762031,0.00013961,0.00003162723,0.00001285592,0.00543895],"genre_scores_gemma":[0.9689977,0.003106785,0.0253179,0.000147579,0.001758721,0.000001609601,0.00002387573,0.00003839118,0.0006074733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09807538,"threshold_uncertainty_score":0.790154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007807054850489557,"score_gpt":0.2621116619688548,"score_spread":0.2543046071183653,"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."}}