{"id":"W2151972360","doi":"10.1371/journal.pone.0071060","title":"Dynamic Simulation and Metabolome Analysis of Long-Term Erythrocyte Storage in Adenine–Guanosine Solution","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Metabolome; Glycolysis; Biochemistry; Pentose phosphate pathway; Metabolism; Adenine nucleotide; Biology; Metabolic pathway; Adenylate kinase; Metabolomics; Adenosine triphosphate; Hypoxanthine; Chemistry; Metabolite; Bioinformatics; Nucleotide; Enzyme","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":[0.0001750036,0.0004618523,0.0004712474,0.0003259308,0.000367846,0.0003857205,0.0004427424,0.000707226,0.001009408],"category_scores_gemma":[0.0003197198,0.000198354,0.0008183094,0.0003123143,0.0003082616,0.000435391,0.0003122021,0.000396091,0.00009880237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006443534,"about_ca_system_score_gemma":0.0006956102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418118,"about_ca_topic_score_gemma":0.005105975,"domain_scores_codex":[0.9999499,0.000008187697,0.000002974732,0.00001501805,0.00001077555,0.00001310568],"domain_scores_gemma":[0.9998698,0.00005956821,0.00002122352,0.000008590442,0.00002552469,0.00001526318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007082675,0.00004133495,0.002380626,0.00002972096,0.00003163128,0.0001001388,0.00002630877,0.9871724,0.008003568,0.0009690809,0.0001034874,0.001070917],"study_design_scores_gemma":[0.000004190632,0.00001805817,0.0003985693,8.82554e-7,0.000005662878,0.000004834681,0.000007519759,0.9985639,0.000795943,0.0001190101,0.00007741976,0.000004013063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734249,0.0002057659,0.02261955,0.0001892553,0.00003195896,0.00002862819,0.0004741092,0.0001028438,0.002923044],"genre_scores_gemma":[0.9939142,0.0001689476,0.004241863,0.0000314844,0.000005123386,0.00006920247,0.0003827596,0.00001564117,0.001170796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418118,"threshold_uncertainty_score":0.02819723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720142492198759,"score_gpt":0.2753053767571856,"score_spread":0.2381039518351981,"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."}}