{"id":"W7106572479","doi":"10.5281/zenodo.17693346","title":"Diverse Ligands for Mycobacterial CYP124 Identified from Plant and Marine Compounds","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation; Belarusian Republican Foundation for Fundamental Research","keywords":"Docking (animal); Molecular model; Binding site; Sequence homology; File format","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003260237,0.0008097701,0.0008571466,0.0005865864,0.0005008665,0.0004615221,0.0006121531,0.0006052396,0.1938241],"category_scores_gemma":[0.001013023,0.00027782,0.0005656759,0.001034799,0.0000876077,0.0003391815,0.0003868514,0.0005766882,0.0336929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005608965,"about_ca_system_score_gemma":0.0006927245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342922,"about_ca_topic_score_gemma":0.002352119,"domain_scores_codex":[0.9997262,0.00004516293,0.00002632246,0.00005206383,0.00009812332,0.00005212911],"domain_scores_gemma":[0.9997003,0.0001040259,0.00004487552,0.00003057572,0.00007206044,0.00004813614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002607415,0.0003226071,0.002058489,0.003971858,0.0001400409,0.0004960608,0.00007386278,0.001797576,0.4280157,0.003438004,0.5032607,0.05381772],"study_design_scores_gemma":[0.0006824237,0.001084784,0.01163477,0.0003068509,0.000208467,0.002210295,0.0000914535,0.005276035,0.2788795,0.001418337,0.6981038,0.000103166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.132271,0.01273622,0.04197505,0.002996414,0.002812052,0.000548968,0.7349946,0.009260672,0.06240502],"genre_scores_gemma":[0.1606425,0.004755288,0.03372451,0.001171292,0.0002741547,0.0005998345,0.7496256,0.0008074832,0.04839942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1938241,"threshold_uncertainty_score":0.6484064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09760576493939019,"score_gpt":0.3671083309151155,"score_spread":0.2695025659757253,"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."}}