{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001546443,0.0004646453,0.0004262916,0.0003236675,0.0002312563,0.000193532,0.0002501608,0.0002816517,0.003910105],"category_scores_gemma":[0.00009953554,0.0001120985,0.0004189534,0.0002011188,0.0002744853,0.0002182254,0.0001559828,0.0007543388,0.0006645813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003294648,"about_ca_system_score_gemma":0.000425661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008461689,"about_ca_topic_score_gemma":0.002257416,"domain_scores_codex":[0.9998653,0.00002034191,0.00001784006,0.00002525708,0.00004108466,0.00003005187],"domain_scores_gemma":[0.9999318,0.00001409211,0.0000192943,0.000008020998,0.000009056691,0.00001765365],"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":[0.0005203161,0.0002009321,0.0003390046,0.0002282753,0.00003269592,0.0001094998,0.00001784168,0.0002477513,0.9934936,0.0001182624,0.0005222724,0.004169557],"study_design_scores_gemma":[0.0001477582,0.001689803,0.004051644,0.00001841758,0.00005135106,0.000283556,0.00003834455,0.0006983337,0.9877008,0.00004079366,0.005270261,0.000008935654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986263,0.005833253,0.001710121,0.0004708702,0.00007611443,0.0001042152,0.001629496,0.0002728131,0.003640129],"genre_scores_gemma":[0.9922122,0.002394103,0.001559809,0.0001257282,0.00002419353,0.000102995,0.001491037,0.00001921423,0.002070768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003910105,"threshold_uncertainty_score":0.0130806,"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."}}