{"id":"W4382600173","doi":"10.5539/jfr.v12n3p47","title":"Volatile Compound Profiles of Raw and Roasted Peanut Seeds of the Runner and Virginia Market-types","year":2023,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Roasting; Chemistry; Flavor; Hexanal; Food science; Raw material; Solid-phase microextraction; Arachis hypogaea; Linoleic acid; Gas chromatography–mass spectrometry; Chromatography; Mass spectrometry; Organic chemistry; Botany; Biology; Fatty acid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002385476,0.0000748839,0.0002404217,0.00008199526,0.000217071,0.00004016975,0.0003097095,0.00004708011,0.00005796088],"category_scores_gemma":[0.0005438852,0.00002247437,0.00006272688,0.0007030413,0.0004850683,0.00009417065,0.0004287332,0.0003431273,3.814396e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001161321,"about_ca_system_score_gemma":0.00003404179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005200319,"about_ca_topic_score_gemma":0.000106765,"domain_scores_codex":[0.9980874,0.0003933404,0.0002882865,0.0001067815,0.0008535963,0.0002705966],"domain_scores_gemma":[0.9979416,0.001324547,0.0001505852,0.0000509764,0.0004440472,0.00008829814],"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":[0.0003059664,0.00007645007,0.07521482,0.0001186571,0.0001160587,0.00001468362,0.0003851766,0.000002231037,0.898645,0.00007110267,0.017547,0.007502887],"study_design_scores_gemma":[0.0002870677,0.001322311,0.9640402,0.000170788,0.0000089904,0.00004641882,0.001081968,0.0001422889,0.02788148,0.0007595458,0.004196435,0.0000625129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954413,0.001198207,6.850364e-8,0.002155709,0.00003477967,0.0001569965,0.0000466185,0.000004121188,0.0009622067],"genre_scores_gemma":[0.9980712,0.001019865,0.00001681477,0.000004457749,0.00009627883,0.000001899428,0.000003388389,4.747898e-7,0.0007856372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8888254,"threshold_uncertainty_score":0.1787254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06775565186550993,"score_gpt":0.3135376525806893,"score_spread":0.2457820007151794,"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."}}