{"id":"W2948400285","doi":"10.1101/661611","title":"Cold storage reveals distinct metabolic perturbations in processing and non-processing cultivars of potato","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Department of Biotechnology, Savitribai Phule Pune University; Indian Institute of Science Education and Research Mohali; Science and Engineering Research Board; Savitribai Phule Pune University; Indian Institute of Science Education and Research Pune; University Grants Commission; Department of Science and Technology, Ministry of Science and Technology, India; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Metabolomics; Metabolite; Cultivar; Metabolic pathway; Metabolome; Biology; Solanum tuberosum; Metabolite profiling; Food science; Biochemistry; Chemistry; Botany; Enzyme; Bioinformatics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000963115,0.0004764065,0.000826336,0.0001461667,0.000205241,0.0003018542,0.0006464061,0.0004285288,0.00003153495],"category_scores_gemma":[0.0003533841,0.0002557554,0.0001071113,0.0009766752,0.0001825158,0.0002955245,0.0005824023,0.000783761,0.00001210701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197703,"about_ca_system_score_gemma":0.000282184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004377872,"about_ca_topic_score_gemma":0.00006477532,"domain_scores_codex":[0.9969198,0.0002022563,0.0006581225,0.0009930305,0.0005620671,0.0006647029],"domain_scores_gemma":[0.9982672,0.0002266424,0.0005326158,0.0002692796,0.0004542618,0.0002499684],"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":[0.00002441045,0.0001228332,0.09488222,0.0005261194,0.00002284986,0.00002119475,0.00003189154,0.00002520588,0.9041594,0.0000601426,0.00004664718,0.0000770341],"study_design_scores_gemma":[0.0002613873,0.00004684363,0.9558618,0.001051902,0.0000445952,4.905931e-8,0.00002037571,0.001759863,0.03940075,0.00000393368,0.0009863259,0.0005621937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944049,0.003712057,0.0000489004,0.0002142697,0.0001224816,0.0008713907,0.0005089342,0.00009475832,0.00002229844],"genre_scores_gemma":[0.9986593,0.0002639355,0.0007070321,0.00005360308,0.0001606588,0.0001222052,0.00000263957,0.0000120912,0.00001850914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647587,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095909111399065,"score_gpt":0.2408139834675604,"score_spread":0.2198548923535698,"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."}}