{"id":"W6957938889","doi":"10.60692/fmjnp-5f967","title":"Additional file 15 of Combined nature and human selections reshaped peach fruit metabolome","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Table (database); Metabolome; Gene; Selection (genetic algorithm); Single-nucleotide polymorphism","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":[0.001056081,0.001141824,0.001387691,0.002304086,0.0012685,0.00145455,0.001822845,0.001294296,0.8131698],"category_scores_gemma":[0.01183186,0.0005923496,0.001033057,0.003541569,0.000252507,0.001261241,0.00103018,0.0008189459,0.1513996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00088048,"about_ca_system_score_gemma":0.001424447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159521,"about_ca_topic_score_gemma":0.02391251,"domain_scores_codex":[0.9994405,0.00007476686,0.00008254277,0.000188289,0.000126958,0.00008690976],"domain_scores_gemma":[0.9921977,0.005230436,0.0004633388,0.0006129967,0.00119372,0.0003019288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006354675,0.0001466468,0.004605215,0.003070008,0.0001123732,0.0002195373,0.0001141566,0.0004070323,0.0009897953,0.0005650502,0.9786233,0.01051134],"study_design_scores_gemma":[0.005944114,0.0004186502,0.0808964,0.002884621,0.0004499501,0.0009530865,0.0006528583,0.00157331,0.003820062,0.00852678,0.8936364,0.0002438649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001917795,0.00001190073,0.0001555435,0.00004271799,0.0000165698,0.00003024702,0.9989058,0.0001805696,0.0004648813],"genre_scores_gemma":[0.005042624,0.00006709361,0.002059353,0.0003733413,0.00005037517,0.0005306188,0.9852508,0.0004683472,0.006157371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8131698,"threshold_uncertainty_score":0.2664906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05498819938176543,"score_gpt":0.2011312798448842,"score_spread":0.1461430804631187,"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."}}