{"id":"W3118804670","doi":"10.3390/antibiotics10010070","title":"Natural Products and Their Derivatives with Antibacterial, Antioxidant and Anticancer Activities","year":2021,"lang":"en","type":"article","venue":"Antibiotics","topic":"Natural product bioactivities and synthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Boosting (machine learning); Antioxidant; Immune system; Chemistry; Natural (archaeology); Antibacterial activity; Combinatorial chemistry; Pharmacology; Biology; Biochemistry; Immunology; Bacteria; Computer science; Artificial intelligence","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":[0.0001639641,0.0002583702,0.0002128194,0.0004414845,0.0002556676,0.0003352491,0.0001796823,0.0003351549,0.004610174],"category_scores_gemma":[0.0001818162,0.00009958235,0.0002527738,0.0004125717,0.0002190902,0.0004143108,0.0003230898,0.0006279584,0.001233272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591026,"about_ca_system_score_gemma":0.0003049114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000310385,"about_ca_topic_score_gemma":0.0008077514,"domain_scores_codex":[0.9999111,0.00001442239,0.000006377785,0.00001468025,0.00003738618,0.00001600117],"domain_scores_gemma":[0.9999267,0.00001016838,0.00001735694,0.000005843875,0.00002536416,0.00001446754],"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":[0.0005597667,0.0004466562,0.0009534746,0.005676065,0.00008873306,0.0009451186,0.0001972068,0.0009471108,0.6306289,0.02606355,0.00970378,0.3237897],"study_design_scores_gemma":[0.00006970222,0.002147303,0.003954044,0.0004600868,0.000132214,0.002457236,0.0001458947,0.00047234,0.424033,0.005214961,0.5608391,0.00007403491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2294697,0.6499043,0.0191477,0.002958391,0.001774243,0.0002599396,0.002760405,0.0002866473,0.09343874],"genre_scores_gemma":[0.7148257,0.2252077,0.01541545,0.001658033,0.0005532989,0.000198238,0.001442441,0.00004499483,0.04065415],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004610174,"threshold_uncertainty_score":0.01542258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006099856146496977,"score_gpt":0.2077618373441873,"score_spread":0.2016619811976903,"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."}}