{"id":"W2997703696","doi":"10.3390/pr8010075","title":"Elevated Bioactivity of Ruta graveolens against Cancer Cells and Microbes Using Seaweeds","year":2020,"lang":"en","type":"article","venue":"Processes","topic":"Plant Growth Enhancement Techniques","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"King Saud University","keywords":"Ruta graveolens; Antimicrobial; HeLa; Botany; Chemistry; Elicitor; Biology; Microbiology; Biochemistry; Enzyme; Cell","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":[0.00004277027,0.00009749581,0.000146373,0.000007311861,0.00005955609,0.00002734481,0.0001131672,0.00004648015,0.00002921217],"category_scores_gemma":[0.00003283939,0.00004078718,0.00001681544,0.0003500692,0.00005836385,0.0001128553,0.00006029653,0.00005143708,0.00000102533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007042242,"about_ca_system_score_gemma":0.00001529205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002926528,"about_ca_topic_score_gemma":0.0001052042,"domain_scores_codex":[0.999448,0.00001601475,0.0001172616,0.0001866762,0.00009069492,0.0001413553],"domain_scores_gemma":[0.9997024,0.00005652767,0.00008720029,0.00001699414,0.00008203455,0.00005482954],"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":[0.00001423805,0.00002339123,0.00550217,0.0002185382,0.000008659426,8.687194e-7,0.00007281938,0.000002241093,0.9899717,0.000003185534,0.0001001666,0.004082038],"study_design_scores_gemma":[0.00003857011,0.00006020894,0.0007898478,0.00006313388,0.00001132449,6.180074e-7,0.00004831078,0.0001270787,0.9961081,0.00004981181,0.002596096,0.000106915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980626,0.0009484599,0.00004363582,0.0005052473,0.00001957966,0.0001217233,0.0001302596,0.00008691091,0.0000815446],"genre_scores_gemma":[0.9980451,0.001377757,0.0002519524,0.0002352806,0.00005840871,0.000006201379,0.00001491981,8.2749e-7,0.000009533526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006136402,"threshold_uncertainty_score":0.1663253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222572407231241,"score_gpt":0.2422463844724558,"score_spread":0.2000206604001434,"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."}}