{"id":"W7116850826","doi":"10.1002/fft2.70213","title":"Geographical Variation in Nutritional Components of Peanut: Evidence From Multi‐Region Production Areas","year":2025,"lang":"en","type":"article","venue":"Food Frontiers","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Agricultural Science and Technology Innovation Program; Chinese Academy of Agricultural Sciences","keywords":"Oleic acid; Cultivar; Production (economics); Gene–environment interaction; Sucrose; Variance components; Fatty acid","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":[0.0005927314,0.0001873422,0.0001946115,0.0009441737,0.0002700643,0.0003883777,0.0002742329,0.0001479006,0.0006173389],"category_scores_gemma":[0.0008602242,0.0001576649,0.0003773327,0.001342616,0.0004600385,0.0002230609,0.0004118946,0.0001374564,0.0000818073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022261,"about_ca_system_score_gemma":0.0001731605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00956931,"about_ca_topic_score_gemma":0.01638173,"domain_scores_codex":[0.9994585,0.0001880612,0.00003189371,0.0002095543,0.00006636933,0.00004557271],"domain_scores_gemma":[0.9987405,0.0003244893,0.0004953551,0.0001708165,0.000151469,0.0001174113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009944946,0.00002765022,0.9911875,0.00002111273,0.0001991701,0.0001535103,0.0006391968,0.00009809541,0.004561708,0.00004805417,0.00003189053,0.002932635],"study_design_scores_gemma":[0.000001088796,0.00001345851,0.9994868,0.000001729192,0.00001837605,0.0000451572,0.0002275219,0.00006747089,0.00007658727,0.000008818104,0.00005142248,0.000001515858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996691,0.00007745298,0.00008065304,0.000006015238,0.00000102084,0.000001351736,0.00005065438,0.000001061163,0.0001125744],"genre_scores_gemma":[0.9997678,0.00004951635,0.00007528412,0.000002570648,0.000001092565,0.000001546102,0.00006189007,0.000001195989,0.00003912265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00956931,"threshold_uncertainty_score":0.01902723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05024210823957366,"score_gpt":0.2507063905607671,"score_spread":0.2004642823211935,"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."}}