{"id":"W4412891107","doi":"10.3390/plants14152395","title":"HPLC-ESI-HRMS/MS-Based Metabolite Profiling and Bioactivity Assessment of Catharanthus roseus","year":2025,"lang":"en","type":"article","venue":"Plants","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Paraza Pharma (Canada)","funders":"Korea Environmental Industry and Technology Institute; University Grants Commission- Nepal; National Research Foundation of Korea","keywords":"Catharanthus roseus; Chemistry; Tandem mass spectrometry; Metabolite; Chromatography; Primary metabolite; Glucuronate; High-performance liquid chromatography; Electrospray ionization; Biochemistry; Mass spectrometry","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":[0.0001686766,0.0005287321,0.0002521473,0.0007100621,0.0001790345,0.0001938398,0.0001481341,0.0002109543,0.0007485178],"category_scores_gemma":[0.0001657065,0.0001013389,0.0003203346,0.000332931,0.0001099235,0.0002020757,0.0001744864,0.0002072257,0.0002635324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149022,"about_ca_system_score_gemma":0.0001636696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007614347,"about_ca_topic_score_gemma":0.00133877,"domain_scores_codex":[0.9999015,0.00001713144,0.000007430554,0.00003192017,0.00002845965,0.00001351592],"domain_scores_gemma":[0.9998963,0.0000184758,0.00002882154,0.000009346006,0.00003137055,0.00001565517],"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":[0.00005132976,0.000008981079,0.0002133118,0.00003783203,0.000006248934,0.00003204721,0.000009889622,0.00004134469,0.9981958,0.00001105798,0.00001002012,0.001382152],"study_design_scores_gemma":[0.00001277958,0.0004105055,0.02528444,0.000013866,0.00007213817,0.0004958638,0.0000672882,0.001259625,0.9696547,0.00007776228,0.002630298,0.00002073705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853531,0.002847247,0.005834711,0.0001019703,0.00001322002,0.00008531585,0.003613128,0.0001813548,0.00197003],"genre_scores_gemma":[0.9796919,0.001682937,0.0128301,0.0001058094,0.00001627613,0.00008456593,0.003515843,0.00005254424,0.002020061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007614347,"threshold_uncertainty_score":0.002504051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980820028150298,"score_gpt":0.2637952315994246,"score_spread":0.2439870313179216,"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."}}