{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498813,0.0002002306,0.000632214,0.0003540353,0.00001400185,0.000006507249,0.0001771572,0.0002073231,0.0008718576],"category_scores_gemma":[0.0006923088,0.0001417401,0.00005805465,0.0005132836,0.0002561741,0.00007027206,0.0001360125,0.0004059151,0.00000469642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624731,"about_ca_system_score_gemma":0.0008060367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004508459,"about_ca_topic_score_gemma":0.008460474,"domain_scores_codex":[0.9978659,0.0001302534,0.0004255884,0.0004733675,0.0004819366,0.0006230025],"domain_scores_gemma":[0.9983588,0.0009429495,0.00007974498,0.0003046806,0.00007306405,0.0002407149],"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":[0.0004704327,0.0001085762,0.434084,0.001660476,0.00001020313,0.00004123702,0.0001690158,0.00001404857,0.5511947,0.000002896783,0.0007529261,0.01149147],"study_design_scores_gemma":[0.006848397,0.00006668682,0.4372916,0.003822546,0.00002693466,4.875656e-7,0.00002636156,0.0008688407,0.5504679,0.00001553765,0.0003899154,0.0001748036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873538,0.00954855,0.000106557,0.000848718,0.0002888435,0.000929017,0.00003024491,0.00001122592,0.0008830599],"genre_scores_gemma":[0.9866575,0.009089114,0.000294126,0.0002689602,0.0002282583,0.0006183562,6.618732e-7,0.00004033755,0.002802662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131667,"threshold_uncertainty_score":0.9546229,"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."}}