{"id":"W3205576405","doi":"10.1186/s12935-021-02201-6","title":"Huanglianjiedu Decoction as an effective treatment for oral squamous cell carcinoma based on network pharmacology and experimental validation","year":2021,"lang":"en","type":"article","venue":"Cancer Cell International","topic":"Flavonoids in Medical Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Zhejiang University; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Scutellaria baicalensis; Coptis chinensis; KEGG; Gardenia jasminoides; Cell cycle; MAPK/ERK pathway; Cell growth; PI3K/AKT/mTOR pathway; Traditional medicine; Coptis; Apoptosis; Cancer research; Biology; PTEN; Kinase; Medicine; Traditional Chinese medicine; Transcriptome; Gene; Cell biology; Gene expression; Genetics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001433207,0.0001345993,0.000165818,0.00004988336,0.00008094016,0.00002547762,0.00006347372,0.0000883771,0.002790757],"category_scores_gemma":[0.00005755994,0.0001249384,0.00006750265,0.00006350697,0.00006192204,0.00007236176,0.00002464387,0.000113776,0.00001347865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124338,"about_ca_system_score_gemma":0.0003335049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001977959,"about_ca_topic_score_gemma":0.00003308793,"domain_scores_codex":[0.9988485,0.0001035013,0.000150787,0.0003783797,0.0003000122,0.0002188043],"domain_scores_gemma":[0.9991605,0.0002858256,0.00005078419,0.0001106729,0.0002005887,0.0001916098],"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":[0.01662933,0.007840724,0.03335381,0.0003475808,0.0003153759,0.000513758,0.001818604,0.01244,0.8221231,0.0006071876,0.03785403,0.06615657],"study_design_scores_gemma":[0.008842119,0.002837577,0.002354106,0.00002034841,0.00008517176,0.000005830017,0.000212748,0.04322208,0.9359111,0.00005146772,0.006342802,0.0001146202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989,0.0006859205,0.0007339855,0.0006533412,0.001784923,0.000766301,0.00002989252,0.0000235437,0.006322133],"genre_scores_gemma":[0.9933777,0.00003934034,0.0009606965,0.001112092,0.001364982,0.0007640687,0.0003534627,0.0000250802,0.002002607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137881,"threshold_uncertainty_score":0.9981208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240599193965888,"score_gpt":0.4128980436008427,"score_spread":0.3804920516611838,"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."}}