{"id":"W1965744280","doi":"10.1080/10412905.2012.703496","title":"Chemical composition, anti-angiogenic and cytotoxicity activities of the essential oils of<i>Cymbopogan citratus</i>(lemon grass) against colorectal and breast carcinoma cell lines","year":2012,"lang":"en","type":"article","venue":"Journal of Essential Oil Research","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Drug Research and Development","funders":"Universiti Sains Malaysia","keywords":"Chemistry; Cymbopogon citratus; Steam distillation; Cytotoxicity; Essential oil; DPPH; Gas chromatography; Food science; Gas chromatography–mass spectrometry; IC50; Chromatography; MTT assay; Lamiaceae; Traditional medicine; Antioxidant; Biochemistry; In vitro; Mass spectrometry; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0009837006,0.0001829351,0.0004818114,0.00006616724,0.0002905202,0.000086689,0.0003333282,0.0001604991,0.00002977729],"category_scores_gemma":[0.00006484877,0.00007908478,0.000283713,0.0004692401,0.0008330805,0.0004147557,0.0003106414,0.0004860182,5.495752e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002690708,"about_ca_system_score_gemma":0.00006774675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002448872,"about_ca_topic_score_gemma":0.00006266043,"domain_scores_codex":[0.9976943,0.0004074884,0.0005215075,0.0001950838,0.0007134141,0.0004681846],"domain_scores_gemma":[0.9982887,0.0004837101,0.0004550196,0.0000726368,0.0004743092,0.0002256513],"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":[0.0002460903,0.0005830338,0.02448736,0.0001198239,0.00004912219,0.000006169538,0.0001623791,0.000001335386,0.9726352,0.00004773354,0.000107214,0.001554533],"study_design_scores_gemma":[0.0003470274,0.0001127075,0.09227443,0.0000981436,0.00005486623,0.0001467399,0.0001841052,0.00001304135,0.9066057,0.00002718015,0.0000180674,0.0001179983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998408,0.0004545345,0.000002661058,0.0005639064,0.0002148048,0.00009005567,0.0001011933,0.000004714116,0.0001601671],"genre_scores_gemma":[0.9987177,0.000423192,0.00004802571,0.00001476635,0.0007645082,0.000001375421,0.000006872806,0.000003527661,0.00002002981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06778707,"threshold_uncertainty_score":0.3224984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572257781554436,"score_gpt":0.2557748824991721,"score_spread":0.2400523046836277,"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."}}