{"id":"W1970989574","doi":"10.1002/jctb.1273","title":"Glucoraphanin extraction from <i>Cardaria draba</i>: Part 1. Optimization of batch extraction","year":2005,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture - Saskatchewan","keywords":"Glucoraphanin; Glucosinolate; Chemistry; Extraction (chemistry); Solvent; Aqueous solution; Yield (engineering); Chromatography; Botany; Biochemistry; Organic chemistry; Materials science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002534237,0.0007102462,0.0004123069,0.0003154868,0.0003544227,0.0003629331,0.0003197025,0.0003591356,0.001710197],"category_scores_gemma":[0.000270368,0.0002038444,0.000281243,0.0004058629,0.0003150465,0.0003659485,0.0002652055,0.0003960234,0.0006661948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618432,"about_ca_system_score_gemma":0.0003143849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004658892,"about_ca_topic_score_gemma":0.006646604,"domain_scores_codex":[0.9997978,0.00002342048,0.00001737832,0.00008395151,0.0000495049,0.00002798916],"domain_scores_gemma":[0.9999286,0.00002222469,0.00001692711,0.0000113067,0.00001390953,0.000007037935],"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":[0.00003536609,0.000009639284,0.00008474253,0.000034727,0.000002465331,0.00002047235,0.000009979138,0.00005121478,0.9987704,0.00001110366,0.00001437485,0.0009554434],"study_design_scores_gemma":[0.00001208691,0.0001699168,0.003813274,0.000008168365,0.00001491332,0.00008309972,0.00002557552,0.000521257,0.9935026,0.00001785354,0.001819955,0.0000113931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722735,0.001253055,0.02063716,0.0001073508,0.00002617712,0.000693167,0.001389921,0.0003360983,0.003283442],"genre_scores_gemma":[0.9539509,0.001828062,0.0359572,0.0001097361,0.00001626151,0.000486246,0.002286828,0.000139228,0.005225681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004658892,"threshold_uncertainty_score":0.009263515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006318371366938752,"score_gpt":0.2484190097803008,"score_spread":0.242100638413362,"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."}}