{"id":"W2791148572","doi":"10.1016/j.chroma.2018.03.006","title":"Characterization of plant polysaccharides from Dendrobium officinale by multiple chromatographic and mass spectrometric techniques","year":2018,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Chemistry; Polysaccharide; Chromatography; Mass spectrometry; Extraction (chemistry); Size-exclusion chromatography; Hydrolysis; Acid hydrolysis; Tandem mass spectrometry; Yield (engineering); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001757833,0.0007976939,0.0002300009,0.0009179452,0.0004089698,0.000345498,0.0001889612,0.0003004083,0.0005664339],"category_scores_gemma":[0.0003209283,0.0001546026,0.0004551597,0.0006040314,0.0002548613,0.0004161123,0.0002496235,0.0006484694,0.0002406876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153421,"about_ca_system_score_gemma":0.0003923212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719184,"about_ca_topic_score_gemma":0.002228611,"domain_scores_codex":[0.9998847,0.0000210995,0.00000983729,0.00002468052,0.00003462955,0.00002493471],"domain_scores_gemma":[0.999685,0.00005419292,0.00008118565,0.00002800483,0.0000772778,0.00007440768],"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":[0.0001257483,0.00001585639,0.0003678653,0.00003654575,0.00001054369,0.00005632917,0.00001578446,0.00004042187,0.9971354,0.00004143949,0.000007859151,0.002146079],"study_design_scores_gemma":[0.00002211177,0.0003500644,0.03068175,0.00001555232,0.00008534061,0.0007043545,0.00009431852,0.0008820778,0.9646356,0.0001206165,0.002387103,0.00002112677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983543,0.004147138,0.009127547,0.0001381816,0.00003384568,0.00006159757,0.0007972196,0.00004693341,0.002104518],"genre_scores_gemma":[0.9868101,0.001487164,0.008879482,0.00007023712,0.0000233349,0.00002813266,0.0009805033,0.00001794508,0.001703094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001719184,"threshold_uncertainty_score":0.003418326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332516609191119,"score_gpt":0.241655026022302,"score_spread":0.2283298599303908,"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."}}