{"id":"W2606612611","doi":"10.1080/15384101.2017.1315493","title":"Characterizing novel anti-oncogenic triterpenoids from ganoderma","year":2017,"lang":"en","type":"letter","venue":"Cell Cycle","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Guangdong Science and Technology Department; Natural Science Foundation of Guangdong Province","keywords":"Biology; Ganoderma; Triterpenoid; Ganoderma lucidum; Cancer research; Computational biology; Traditional medicine","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":[0.0004069537,0.0003044806,0.0004720157,0.0001644656,0.0003441179,0.0008213365,0.0003343172,0.002700901,0.001957114],"category_scores_gemma":[0.001037403,0.0001438747,0.0002884769,0.0001567807,0.0005131285,0.0006867691,0.0005364573,0.003302234,0.001570349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466145,"about_ca_system_score_gemma":0.0003359906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002991268,"about_ca_topic_score_gemma":0.0006555292,"domain_scores_codex":[0.9998537,0.00002623599,0.00001791427,0.00001368097,0.00005554196,0.00003289955],"domain_scores_gemma":[0.9997576,0.0001033843,0.00002849436,0.00002128359,0.00005343544,0.00003583724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002253991,0.0005836182,0.002631391,0.001522904,0.00007139447,0.02065863,0.0005829156,0.0009998332,0.3350883,0.01255712,0.2346724,0.3883776],"study_design_scores_gemma":[0.0005085337,0.0009517265,0.001257006,0.00009285769,0.00006504683,0.01243911,0.0003508387,0.00127072,0.1617951,0.008862686,0.8123654,0.00004096063],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2467237,0.1190529,0.01299739,0.5490943,0.02749991,0.0005562133,0.001799974,0.00063344,0.04164229],"genre_scores_gemma":[0.6687084,0.07922761,0.01227949,0.1670206,0.01119509,0.0004581827,0.001973865,0.0001550119,0.05898154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002700901,"threshold_uncertainty_score":0.006547213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401936951814913,"score_gpt":0.26651782442204,"score_spread":0.2424984549038909,"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."}}