{"id":"W1972841107","doi":"10.1038/onc.2012.572","title":"Active kinase profiling, genetic and pharmacological data define mTOR as an important common target in triple-negative breast cancer","year":2012,"lang":"en","type":"article","venue":"Oncogene","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"European Regional Development Fund; Instituto de Salud Carlos III; Ministerio de Ciencia e Innovación","keywords":"mTORC2; mTORC1; PI3K/AKT/mTOR pathway; Triple-negative breast cancer; Biology; Cancer research; Receptor tyrosine kinase; RPTOR; Targeted therapy; Kinase; Mechanistic target of rapamycin; Cell growth; Breast cancer; Cancer; Signal transduction; Cell biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003401489,0.0002527211,0.0002698239,0.00004507934,0.00007049889,0.00001893456,0.0003697603,0.0001997539,0.0002381118],"category_scores_gemma":[0.00007770076,0.0002264872,0.00003637513,0.0001246038,0.0001408387,0.00002438401,0.0003331887,0.0001855649,0.000005591515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008514884,"about_ca_system_score_gemma":0.0002281632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000409075,"about_ca_topic_score_gemma":0.0003206234,"domain_scores_codex":[0.9982708,0.000176113,0.0003152543,0.0005962751,0.0001687181,0.0004728606],"domain_scores_gemma":[0.9990197,0.00002843664,0.0001681633,0.0004473958,0.00006749795,0.0002688155],"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":[0.0007498087,0.0003069349,0.09393119,0.00001513969,0.0001043921,0.00002588654,0.00009997813,0.00002157954,0.8983374,0.000009507167,0.0006069957,0.005791215],"study_design_scores_gemma":[0.00210562,0.0004380064,0.0365976,0.00002101019,0.00009777625,0.0001034397,0.0000922231,0.0004233471,0.9546226,0.00008148883,0.004980445,0.0004364689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923173,0.005214099,0.00003709544,0.0001410251,0.0003133205,0.0004247997,0.001351025,0.00001550763,0.0001858128],"genre_scores_gemma":[0.9941623,0.0009856622,0.002753826,0.0005438495,0.0008086128,0.0001316062,0.0005036182,0.0000378449,0.0000726705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0573336,"threshold_uncertainty_score":0.9235882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258106899324267,"score_gpt":0.3488559532594852,"score_spread":0.3162748842662425,"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."}}