{"id":"W4206466297","doi":"10.1158/2159-8290.cd-21-1411","title":"Precision Targeting of Mutant PI3Kα in Cancer by Selective Degradation","year":2022,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"CIHR Skin Research Training Centre; Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC; Cancer Research UK; PTEN Research; Wellcome Trust; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Mutant; Cancer; Kinase; Protein subunit; Tyrosine kinase; Receptor tyrosine kinase; Cancer cell; Phosphorylation; Mutation; Protein-Tyrosine Kinases","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":[],"consensus_categories":[],"category_scores_codex":[0.0002153361,0.000136774,0.0001703614,0.00005412428,0.00008139791,0.00001437209,0.0002089835,0.00006243022,0.0001357459],"category_scores_gemma":[0.00004581492,0.000143812,0.00006693319,0.000259018,0.00004625602,0.0000164883,0.00015731,0.0001594617,4.157796e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411521,"about_ca_system_score_gemma":0.0003858589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010832,"about_ca_topic_score_gemma":0.0002478192,"domain_scores_codex":[0.9987625,0.00009930135,0.0002666058,0.000396671,0.0002436951,0.0002312187],"domain_scores_gemma":[0.9995126,0.00002166576,0.0001842212,0.0001876851,0.00006172472,0.00003209832],"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":[0.0002651539,0.00007031668,0.01917422,0.0000231873,0.00004367764,0.000001177317,0.0001301457,0.01191435,0.9530581,0.00001106703,0.01214311,0.003165456],"study_design_scores_gemma":[0.0006503434,0.0002325175,0.001624462,0.00004583571,0.00001957541,0.000001411169,0.0002118828,0.0002853906,0.9757444,0.00007328697,0.02088048,0.0002303757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854013,0.01216873,0.0008421344,0.0001038932,0.0005234348,0.0002246773,0.0005150792,0.000006848904,0.0002138719],"genre_scores_gemma":[0.9974023,0.0009093179,0.00005986306,0.0001843603,0.0001548657,0.000399783,0.0001979557,0.00002879267,0.0006628172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0226863,"threshold_uncertainty_score":0.5864482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009939813624159043,"score_gpt":0.2772786474061493,"score_spread":0.2673388337819903,"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."}}