{"id":"W2797172915","doi":"10.1016/j.foodchem.2018.03.148","title":"Comparative study on the chemical composition, anthocyanins, tocopherols and carotenoids of selected legumes","year":2018,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"Niagara College","funders":"Education Department of Jiangxi Province; Nanchang University","keywords":"Carotenoid; Food science; Chemical composition; Composition (language); Chemistry; Botany; Biology; Organic chemistry","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":[0.0000701895,0.0001251185,0.0001680216,0.000001484338,0.0001261054,0.00002373778,0.0001816824,0.00008185966,0.0001927438],"category_scores_gemma":[0.00001912484,0.00004477167,0.00002831288,0.0001687075,0.0001704649,0.00001632568,0.00004523553,0.0001216028,0.00000434692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008398177,"about_ca_system_score_gemma":0.000007378982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001475167,"about_ca_topic_score_gemma":0.000005494574,"domain_scores_codex":[0.9993297,0.00002798823,0.0001411229,0.0002142055,0.000149014,0.0001379723],"domain_scores_gemma":[0.9995393,0.0001599791,0.00007075296,0.00006731481,0.0001097682,0.00005291572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006327103,0.0001560275,0.001467615,0.000006446104,0.00003283506,5.372377e-7,0.0002391518,3.996834e-8,0.9971595,0.000004797968,0.0007717383,0.00009806894],"study_design_scores_gemma":[0.0001437187,0.0004222838,0.009908134,0.00002221913,0.000009953023,0.00000922888,0.001599139,0.000005138201,0.9875672,0.00002196075,0.0001872152,0.0001038246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968935,0.00005051623,1.080876e-7,0.0002191354,0.00001386534,0.0001763065,0.0001020101,0.00002894985,0.002515608],"genre_scores_gemma":[0.9995439,0.000001729884,0.000007835954,0.00004922564,0.0002618174,0.00001420614,0.00006628311,6.599925e-7,0.00005432505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009592286,"threshold_uncertainty_score":0.2110409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290844935765459,"score_gpt":0.2273605663926509,"score_spread":0.2044521170349963,"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."}}