{"id":"W4409846755","doi":"10.1016/j.jfca.2025.107700","title":"Exploring natural variation in seed oil traits across the global germplasm of the oilseed crop, Carthamus tinctorius L. (Safflower) using near-infrared reflectance spectroscopy and gas chromatography","year":2025,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Science and Engineering Research Board; University of Delhi; Ministry of Science and Technology of the People's Republic of China; Council of Scientific and Industrial Research, India; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Carthamus; Germplasm; Crop; Near infrared reflectance spectroscopy; Near-infrared spectroscopy; Agronomy; Environmental science; Biology; Traditional medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157585,0.0001660618,0.0004729404,0.0002231193,0.0002996465,0.0001502833,0.0002025663,0.00006956224,0.00001211218],"category_scores_gemma":[0.00003865985,0.0001130356,0.0003332872,0.00318595,0.0001319497,0.0002156363,0.00005255592,0.0002934772,4.782881e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400733,"about_ca_system_score_gemma":0.00006426092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005341232,"about_ca_topic_score_gemma":0.00008349619,"domain_scores_codex":[0.9986886,0.00006594331,0.0005574282,0.000184962,0.0002994871,0.0002035728],"domain_scores_gemma":[0.9990108,0.00008948255,0.0005252674,0.0001630153,0.0001598905,0.00005153874],"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":[0.0003075357,0.0001375102,0.03686776,0.0001097833,0.002465375,0.000008567068,0.001006049,0.001045194,0.9573215,0.0001617795,0.000005059366,0.0005639464],"study_design_scores_gemma":[0.003319686,0.000169242,0.4854698,0.0004844834,0.006066357,0.0001741233,0.001745611,0.02122069,0.4796969,0.001171822,0.0000405898,0.0004406736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967331,0.001909849,0.0005030458,0.0002671808,0.00008584716,0.00002032798,0.00002080512,0.000008382172,0.0004514788],"genre_scores_gemma":[0.9989517,0.0002938638,0.0006275832,0.00005009021,0.00005273801,0.000001797696,0.000001779412,0.000005017702,0.00001547157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776246,"threshold_uncertainty_score":0.460946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877043667910782,"score_gpt":0.2844207361850154,"score_spread":0.2656502995059076,"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."}}