{"id":"W4394096153","doi":"10.6084/m9.figshare.20226857","title":"Additional file 25 of Combined nature and human selections reshaped peach fruit metabolome","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Metabolome; Biology; Horticulture; Computer science; Database; Bioinformatics; Metabolomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001262274,0.001432899,0.001632652,0.002336883,0.00105665,0.00203853,0.002341944,0.00186849,0.5250643],"category_scores_gemma":[0.008954815,0.0006448083,0.001216389,0.004010844,0.0003731181,0.001293589,0.001438792,0.00111911,0.1263337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030921,"about_ca_system_score_gemma":0.00178576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210981,"about_ca_topic_score_gemma":0.02737349,"domain_scores_codex":[0.9993306,0.00009662842,0.00008634944,0.000276,0.0001020233,0.0001084502],"domain_scores_gemma":[0.9955804,0.002665048,0.0003190381,0.0005334502,0.0006309792,0.0002710721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002630432,0.00005120597,0.002878933,0.00261068,0.0001190821,0.0000924484,0.00006073545,0.0003904362,0.0004159968,0.0005148611,0.9892423,0.00336029],"study_design_scores_gemma":[0.002700069,0.0001180941,0.03521704,0.001625592,0.0003218822,0.0003775294,0.0002174591,0.0007328123,0.001303115,0.005157798,0.9521149,0.0001136593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000652638,0.00001386028,0.00004548875,0.00001733134,0.000006330668,0.000008072537,0.9995952,0.00008163842,0.0001666916],"genre_scores_gemma":[0.001090325,0.00003185251,0.000391479,0.0000994267,0.00001110682,0.0001551009,0.9970085,0.0001347592,0.001077444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5250643,"threshold_uncertainty_score":0.6774381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949704687072998,"score_gpt":0.2429444198544684,"score_spread":0.2134473729837384,"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."}}