{"id":"W2996831551","doi":"10.1080/21501203.2019.1707722","title":"Antimicrobial, anti-cancer, anti-filarial and anti-inflammatory activities of Cowabenzophenone A extracted from the endophytic fungus <i>Aspergillus terreus</i> isolated from a mangrove plant <i>Bruguiera gymnorrhyza</i>","year":2019,"lang":"en","type":"article","venue":"Mycology&#58 An International Journal on Fungal Biology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Colombo","keywords":"Aspergillus terreus; Antimicrobial; Biology; Bacillus cereus; Fungus; Rhizophoraceae; EC50; Minimum inhibitory concentration; IC50; Antibacterial activity; Microbiology; Bacillus subtilis; Traditional medicine; Botany; Bacteria; In vitro; Mangrove; Biochemistry","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003888189,0.000462516,0.00103581,0.0002766439,0.0001927011,0.0001071949,0.0006517397,0.0005191131,0.001273975],"category_scores_gemma":[0.0001909022,0.0003094162,0.0002357507,0.0001445604,0.0003953695,0.0002963137,0.0001973344,0.001143619,0.00003991447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140047,"about_ca_system_score_gemma":0.0002622255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008775501,"about_ca_topic_score_gemma":0.00007365194,"domain_scores_codex":[0.9971662,0.0004235336,0.0008811593,0.0007089528,0.0003201663,0.0005000322],"domain_scores_gemma":[0.9975041,0.0007436836,0.0007983905,0.0004142284,0.0003559318,0.0001836532],"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":[0.003725015,0.0004193755,0.07957222,0.00001630296,0.001207058,0.0002997769,0.0002135923,0.00001187431,0.9109067,0.0001347401,0.0020939,0.001399457],"study_design_scores_gemma":[0.009279563,0.002117652,0.2140886,0.0005528988,0.0005935922,0.002034221,0.0002834577,0.0002994777,0.7511976,0.0001745572,0.01855997,0.0008184472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864213,0.001283795,0.000008542241,0.002764702,0.005545223,0.0005341346,0.003244406,0.00005051497,0.0001473771],"genre_scores_gemma":[0.9908021,0.002743047,0.0001968191,0.002864787,0.002575579,0.000003114674,0.0006018881,0.00004482523,0.0001678531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1597091,"threshold_uncertainty_score":0.9999358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013517361132227,"score_gpt":0.2444990478080904,"score_spread":0.2343638741967682,"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."}}