{"id":"W3181991797","doi":"10.29169/1927-5951.2020.10.01.1","title":"GCTOF-MS and HPLC Identification of Phenolic Compounds with Different Fractional Extracts of Lepironia articulata","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmacy and Nutrition Sciences","topic":"Allelopathy and phytotoxic interactions","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Islamic University Malaysia","keywords":"Chemistry; Ethyl acetate; Petroleum ether; Vanillic acid; Chromatography; Phenol; Caffeic acid; Extraction (chemistry); Vanillin; Butanol; Ether; Phenols; Organic chemistry; Ethanol; Antioxidant","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000205366,0.00006009508,0.0001414969,0.00002188038,0.0001430389,0.00003613476,0.00008943708,0.00001956872,0.00009302545],"category_scores_gemma":[0.00002445858,0.0000237287,0.00003712224,0.0001865672,0.0002031316,0.0004321652,0.00001458656,0.0001170163,3.382936e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000466444,"about_ca_system_score_gemma":0.00001056905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001071843,"about_ca_topic_score_gemma":0.000007015149,"domain_scores_codex":[0.9991978,0.00004728229,0.0003365769,0.00009687366,0.0002516487,0.000069774],"domain_scores_gemma":[0.9991874,0.0001546377,0.0004411105,0.00001214859,0.0001266357,0.00007807814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000340752,0.0002982026,0.01749498,0.0000432212,0.0000191837,0.000001817009,0.0003541588,0.00001433401,0.9772778,0.0002701609,0.000197757,0.003687648],"study_design_scores_gemma":[0.002019092,0.002603113,0.5297215,0.0002563737,0.0001179559,0.0003371842,0.002594916,0.003265821,0.4413222,0.002408956,0.01509844,0.000254433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950207,0.0004412573,0.00008844116,0.004246116,0.00005485788,0.00006438489,0.00002072249,0.000002613427,0.00006089442],"genre_scores_gemma":[0.9991742,0.0004654625,0.00009739691,0.00009597345,0.0001568632,0.000001516968,0.000002874788,3.157716e-7,0.000005363433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5359555,"threshold_uncertainty_score":0.1100154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05613522954811065,"score_gpt":0.2977589527057439,"score_spread":0.2416237231576333,"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."}}