{"id":"W4394311153","doi":"10.6084/m9.figshare.20226842","title":"Additional file 20 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; Horticulture; Biology; 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":[0.001194207,0.001526908,0.001643643,0.002573525,0.00110159,0.002127295,0.002253504,0.001817026,0.5253564],"category_scores_gemma":[0.008729596,0.0005955952,0.001295198,0.004053008,0.0003549586,0.001283573,0.00149115,0.001220284,0.1237185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055643,"about_ca_system_score_gemma":0.001804511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111605,"about_ca_topic_score_gemma":0.02514608,"domain_scores_codex":[0.9993186,0.00009316342,0.00008062599,0.0002856594,0.0001142866,0.0001076668],"domain_scores_gemma":[0.9952991,0.003012366,0.0002800199,0.0004977624,0.000668777,0.0002418988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003089924,0.00006340901,0.002889968,0.003196074,0.0001244147,0.00009796592,0.00006591702,0.0003906201,0.000659002,0.0005871489,0.9873345,0.004281976],"study_design_scores_gemma":[0.002460551,0.0001366728,0.03039609,0.001470715,0.0003099836,0.0003615811,0.0002206512,0.0008053424,0.001543624,0.004958629,0.9572189,0.000117168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006940425,0.00001495992,0.00004659106,0.00001670076,0.000006149395,0.000008139846,0.9995702,0.0000924937,0.0001753571],"genre_scores_gemma":[0.0009277318,0.00003273029,0.0004140385,0.00009433819,0.000008677684,0.0001659319,0.9972523,0.0001287723,0.0009754276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5253564,"threshold_uncertainty_score":0.6770215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914777970407151,"score_gpt":0.2416421887572746,"score_spread":0.212494409053203,"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."}}