{"id":"W4307457805","doi":"10.1002/cam4.5311","title":"The <scp>NRF2</scp> antagonist <scp>ML385</scp> inhibits <scp>PI3K‐mTOR</scp> signaling and growth of lung squamous cell carcinoma cells","year":2022,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Science and Technology Project of Nantong City; Canadian Institutes of Health Research; Nantong University","keywords":"PI3K/AKT/mTOR pathway; Protein kinase B; Cancer research; Cell growth; Signal transduction; Clonogenic assay; Biology; Gene knockdown; Downregulation and upregulation; Cell biology; Phosphorylation; Cell culture; Chemistry; Cell; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006192194,0.0005100884,0.0006217476,0.0001102662,0.0005776919,0.00004129656,0.0006893578,0.0002113969,0.00001602495],"category_scores_gemma":[0.0006684624,0.0004274576,0.0001634503,0.0003164038,0.0007721221,0.00001285233,0.0005807799,0.0005288891,0.000002748887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485523,"about_ca_system_score_gemma":0.0003204765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003797906,"about_ca_topic_score_gemma":0.0000428603,"domain_scores_codex":[0.9968316,0.0002134802,0.000707602,0.0009008051,0.0005177056,0.0008288107],"domain_scores_gemma":[0.9975241,0.0006290263,0.0005550794,0.0006135576,0.0003278046,0.0003503931],"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":[0.00001314039,0.000126547,0.01091811,0.0002780932,0.00007791461,0.00001469148,0.001862413,0.00007813596,0.938929,0.0000446487,0.04749901,0.0001583592],"study_design_scores_gemma":[0.003136231,0.0006185421,0.001657194,0.00004243075,0.0001627599,0.00001910788,0.004947496,0.00012174,0.9464203,0.0001563682,0.04264343,0.00007436448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568319,0.03747765,0.0001561808,0.0001389017,0.0009137996,0.0005543753,0.0003256949,0.00002453313,0.003576947],"genre_scores_gemma":[0.9928817,0.001531187,0.00007151196,0.0007521618,0.001339199,0.0001590394,0.0002736579,0.00009132973,0.002900214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03604978,"threshold_uncertainty_score":0.9998177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008454704767504864,"score_gpt":0.2315750366267541,"score_spread":0.2231203318592492,"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."}}