{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000645049,0.0004982831,0.001266,0.0004478383,0.0004751485,0.00002650763,0.0003924132,0.0002573653,0.0006311995],"category_scores_gemma":[0.0003479236,0.0003463048,0.0005679189,0.001255139,0.001035017,0.00003732166,0.0005556861,0.0007818195,0.000005399079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001969613,"about_ca_system_score_gemma":0.00005713087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005012252,"about_ca_topic_score_gemma":9.149588e-7,"domain_scores_codex":[0.9960901,0.0003740364,0.000765575,0.000791117,0.001201085,0.0007780648],"domain_scores_gemma":[0.9972564,0.001292622,0.0003321905,0.0003468054,0.00007277112,0.000699196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005399463,0.01282872,0.2133607,0.001846694,0.005044426,0.0008189476,0.0004946493,0.00006029809,0.5413558,0.004481144,0.1660584,0.04825069],"study_design_scores_gemma":[0.01517226,0.006883767,0.1390083,0.0002085229,0.00156907,0.0001443284,0.0005100573,0.002257907,0.02199838,0.0005635117,0.811069,0.0006149557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985844,0.00742541,0.0006362883,0.001352034,0.0005507218,0.0007883509,0.001483497,0.0002174008,0.001702362],"genre_scores_gemma":[0.9914201,0.001196238,0.002223568,0.00425087,0.0003125857,0.0001212139,0.0004015643,0.00003466189,0.00003919017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6450105,"threshold_uncertainty_score":0.9998989,"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."}}