{"id":"W4223999684","doi":"10.20944/preprints202204.0119.v1","title":"GC–MS Based Metabolites Profiling, In Vitro Antioxidant, Antibacterial, and Anti-Cancer Properties of Different Solvent Extracts from Leaves, Stems, Roots, and Flowers of <em>Micromeria fruticosa</em> (Lamiaceae)","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Division of Chemistry; UNICEF","keywords":"Antimicrobial; Chemistry; DPPH; Antioxidant; Menthone; Antibacterial activity; Pulegone; Food science; Staphylococcus aureus; Traditional medicine; Bacteria; Biology; Biochemistry; Essential oil; Organic chemistry","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":[0.000114238,0.0005849936,0.0002562702,0.0007889362,0.0002521661,0.0001717365,0.0001680686,0.000298743,0.0008899434],"category_scores_gemma":[0.0001269572,0.0001432284,0.0003366752,0.0004982881,0.0001381276,0.0002334473,0.0001426133,0.000293963,0.0002466897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741371,"about_ca_system_score_gemma":0.0002172331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809603,"about_ca_topic_score_gemma":0.003788145,"domain_scores_codex":[0.999925,0.000009356031,0.000005857781,0.00002600953,0.00002099457,0.00001280898],"domain_scores_gemma":[0.9999359,0.00001329748,0.00001710561,0.000004983127,0.00001907052,0.000009652648],"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":[0.00006747924,0.00001841484,0.0005065385,0.0000698541,0.00001021647,0.0000406477,0.00001863555,0.00003016926,0.9967149,0.00001037429,0.00001768315,0.002495033],"study_design_scores_gemma":[0.00001882344,0.0005441524,0.04987827,0.00002260904,0.0001143235,0.000532552,0.0001310315,0.0007860898,0.9429603,0.00006067486,0.004933665,0.00001747088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829116,0.006592065,0.005532203,0.0001366813,0.00002879611,0.00008700111,0.002536681,0.0001299349,0.002045058],"genre_scores_gemma":[0.970595,0.003025002,0.01637535,0.0002594003,0.00002039413,0.0001325743,0.003288456,0.00003599887,0.006267856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001809603,"threshold_uncertainty_score":0.003598154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068276476726297,"score_gpt":0.2854202975052046,"score_spread":0.2447375327379417,"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."}}