{"id":"W2507621400","doi":"10.1186/s12885-016-2740-0","title":"Anti-cancer effects of baicalein in non-small cell lung cancer in-vitro and in-vivo","year":2016,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Flavonoids in Medical Research","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Irish Cancer Society","keywords":"Baicalein; In vivo; Apoptosis; Medicine; Cancer research; Lung cancer; Mitotic index; Pathology; Immunohistochemistry; Cell growth; ERCC1; Scutellaria baicalensis; Cancer; Biology; Pharmacology; Internal medicine; Traditional Chinese medicine; Mitosis; DNA damage; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001278625,0.0003615032,0.0003666635,0.0002764962,0.0001446477,0.0001581203,0.0001076942,0.0001770666,0.001528285],"category_scores_gemma":[0.00008211838,0.00007059408,0.0002471742,0.0001908856,0.0001298925,0.0001729646,0.00009050829,0.0005465791,0.0002124348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949414,"about_ca_system_score_gemma":0.000246708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009754425,"about_ca_topic_score_gemma":0.002508733,"domain_scores_codex":[0.9999248,0.00001164342,0.00000647679,0.00001591253,0.00002753301,0.00001371848],"domain_scores_gemma":[0.9999434,0.00001099719,0.00001488178,0.000005216458,0.00001199411,0.00001349628],"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":[0.0002394198,0.0001156986,0.0002072004,0.0001836469,0.00001147455,0.00003354876,0.00001394287,0.00007488471,0.9967197,0.00002314651,0.0001330833,0.002244261],"study_design_scores_gemma":[0.00009235256,0.002732927,0.01033,0.00001108711,0.00005103098,0.000245986,0.00003132226,0.0005055959,0.9818766,0.00003008247,0.00408782,0.000005177597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850333,0.009268015,0.001897942,0.0002106502,0.00009551367,0.0001286106,0.001155423,0.0001613372,0.002049237],"genre_scores_gemma":[0.9900345,0.003985469,0.001695621,0.0000832454,0.00003094448,0.0001394724,0.001188964,0.00001938888,0.002822444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001528285,"threshold_uncertainty_score":0.005112648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392088438837783,"score_gpt":0.3328357132810286,"score_spread":0.3189148288926508,"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."}}