{"id":"W4220741080","doi":"10.1002/bmc.5376","title":"Screening of <scp><i>Bletilla striata</i></scp>, <i>Bletilla ochracea</i> and <i>Oreorchis foliosa</i> differential metabolites based on metabolomics","year":2022,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Fundamental Research Funds for the Central Universities; Shaanxi Normal University; National Natural Science Foundation of China","keywords":"Orchidaceae; Monosaccharide; Polysaccharide; Chemistry; Metabolomics; Botany; Biochemistry; Biology; Chromatography","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":[0.0001545385,0.0004579393,0.0004210384,0.0006981745,0.0002450364,0.0002491591,0.000166327,0.0003165534,0.001350628],"category_scores_gemma":[0.0001904792,0.0001425411,0.000464209,0.0005264505,0.000136481,0.0002439468,0.0002290658,0.0003230125,0.0003455079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807628,"about_ca_system_score_gemma":0.0002003647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711536,"about_ca_topic_score_gemma":0.003350087,"domain_scores_codex":[0.9998914,0.00001151271,0.000007367305,0.00003354433,0.00003636209,0.00001981319],"domain_scores_gemma":[0.9998997,0.0000146778,0.00002338109,0.000007455938,0.00003106377,0.00002361387],"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":[0.00005731573,0.00001796283,0.0004892353,0.00005440104,0.00000712137,0.00004667777,0.00001020306,0.00001783794,0.9980526,0.0000128731,0.00002301158,0.001210809],"study_design_scores_gemma":[0.00005112461,0.001620084,0.1194602,0.000047042,0.0001641343,0.0008526451,0.0002462378,0.001167026,0.8676957,0.0000837013,0.008580718,0.00003145652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991038,0.001967587,0.002707134,0.00008597198,0.0000270884,0.0001213518,0.002228342,0.000102254,0.001722372],"genre_scores_gemma":[0.9803317,0.001427523,0.007770456,0.000180646,0.0000153925,0.0001045453,0.0063226,0.00004619114,0.003800913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001711536,"threshold_uncertainty_score":0.00451833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869523521942362,"score_gpt":0.2538158878497661,"score_spread":0.2351206526303425,"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."}}