{"id":"W3094168869","doi":"10.1002/pca.3005","title":"Efficient purification of the diarylheptanoid oregonin from red alder (<scp><i>Alnus rubra</i></scp>) leaves and bark combining aqueous extraction, spray drying and flash‐chromatography","year":2020,"lang":"en","type":"article","venue":"Phytochemical Analysis","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada); University of Victoria","funders":"Mitacs","keywords":"Chemistry; Chromatography; Extraction (chemistry); High-performance liquid chromatography; Alder; Bark (sound); Aqueous solution; Mass spectrometry; Organic chemistry; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015716,0.0001872032,0.0002963214,0.00006201412,0.000123325,0.00003300681,0.0002222474,0.0001609912,0.00001175484],"category_scores_gemma":[0.0002984267,0.0001528337,0.0002143355,0.0008859154,0.0003610119,0.000004532489,0.0001723475,0.0001547842,0.000002681232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008072277,"about_ca_system_score_gemma":0.00002306603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002312316,"about_ca_topic_score_gemma":0.000008564568,"domain_scores_codex":[0.9985681,0.00006517759,0.0003625104,0.0005748189,0.0002354707,0.0001939189],"domain_scores_gemma":[0.9989691,0.0001316572,0.0002278584,0.0003920622,0.00008498579,0.0001943828],"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":[0.00001032215,0.00007887345,0.01182815,0.00001872442,0.0004291356,4.360172e-7,0.0001777302,0.000056565,0.9859424,0.00002436344,0.0007725062,0.0006607487],"study_design_scores_gemma":[0.0003371981,0.00003079313,0.027286,0.00001282274,0.0006622529,0.000002724406,0.000142877,0.002929748,0.9646482,0.0001382649,0.003698932,0.000110128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926904,0.001439377,0.004391205,0.001013278,0.00001929598,0.0002016019,0.00006320242,0.00002135285,0.0001603222],"genre_scores_gemma":[0.9978036,0.0001044881,0.001458226,0.0002395088,0.0001092216,0.00004767674,0.0001963658,0.0000171721,0.00002372697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02129419,"threshold_uncertainty_score":0.6232376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006855088587298185,"score_gpt":0.2205549185130704,"score_spread":0.2136998299257722,"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."}}