{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006268366,0.0007658684,0.001390491,0.0002654068,0.00009683101,0.00005860492,0.0006492072,0.0006413374,0.0001504316],"category_scores_gemma":[0.0002082727,0.0007039347,0.0002775526,0.0001475081,0.0004052653,0.00002528817,0.00251221,0.0008206332,0.000001317554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009847266,"about_ca_system_score_gemma":0.0003218064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003297712,"about_ca_topic_score_gemma":0.0001428337,"domain_scores_codex":[0.9956711,0.0005371662,0.001109538,0.001662373,0.0004947085,0.0005251053],"domain_scores_gemma":[0.9973879,0.00004954228,0.0009745435,0.001170743,0.0002609811,0.0001562815],"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":[0.001163718,0.0004680962,0.1377103,0.0007656018,0.0005118743,0.000004276013,0.0001911383,0.00004802834,0.8586115,0.000009551237,0.000005947426,0.0005099616],"study_design_scores_gemma":[0.001063977,0.00005765648,0.3223993,0.0002520748,0.0001412144,0.000002309256,0.00008800223,0.0001072647,0.6746843,0.00002171735,0.0007089491,0.0004731306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763272,0.02013671,0.00002584475,0.00005840484,0.0007156381,0.001536313,0.001124307,0.00003104394,0.00004455509],"genre_scores_gemma":[0.993532,0.004808993,0.0004714846,0.00003722081,0.0001593898,0.0002147852,0.000592309,0.00008946933,0.00009435941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846891,"threshold_uncertainty_score":0.9995412,"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."}}