{"id":"W4394426123","doi":"10.6084/m9.figshare.23899844","title":"Bioassay-guided isolation and <i>in silico</i> study of antihyperlipidemic compounds from <i>Onosma hispidum</i> Wall","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Traditional and Medicinal Uses of Annonaceae","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"In silico; Isolation (microbiology); Traditional medicine; Bioassay; Computational biology; Biology; Medicine; Microbiology; Ecology; 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"],"consensus_categories":[],"category_scores_codex":[0.00007450418,0.0002754977,0.0003999451,0.0001129138,0.00003865275,0.00001544425,0.0002911907,0.0003483247,0.000576187],"category_scores_gemma":[0.0003031232,0.0002674824,0.00007568805,0.0001288996,0.00002045186,0.000006070223,0.0001944035,0.0002340175,0.0002151241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001718554,"about_ca_system_score_gemma":0.00009140153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047946,"about_ca_topic_score_gemma":0.001790107,"domain_scores_codex":[0.998541,0.00007434688,0.0004228021,0.0005296171,0.0002269653,0.0002052722],"domain_scores_gemma":[0.9990775,0.0001039927,0.0002325438,0.0004031235,0.00009389279,0.00008895458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006587796,0.0002118606,0.0003635659,0.0001724476,0.00006724589,0.0000174911,0.00001321266,0.000009731971,0.004022666,6.96017e-8,0.9950078,0.0000480874],"study_design_scores_gemma":[0.001216442,0.0006045807,0.0164002,0.0009529275,0.0000539706,0.000008577234,0.00006123198,0.00001245476,0.0004495978,0.00001127725,0.9799067,0.0003220691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05809059,0.000752374,4.715312e-8,0.00006308179,0.000129453,0.0003616749,0.9405673,0.00001274378,0.00002269707],"genre_scores_gemma":[0.01438868,0.00021465,0.00001042084,0.0003492159,0.0003975772,0.00008307173,0.9844716,0.00002702004,0.00005774499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04390429,"threshold_uncertainty_score":0.9999777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027661723628725,"score_gpt":0.2827834303804274,"score_spread":0.2425068131441401,"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."}}