{"id":"W2317997914","doi":"10.1158/0008-5472.sabcs-3063","title":"Synthetic lethality when combining phosphoinositide 3-kinase alpha and beta catalytic subunit-directed RNAi and estrogen deprivation for estrogen receptor positive breast cancer: implications for clinical trial design with pharmacological inhibitors.","year":2009,"lang":"en","type":"article","venue":"Cancer Research","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Cancer research; Gene knockdown; RNA interference; Estrogen receptor; Biology; Estrogen receptor alpha; Phosphoinositide 3-kinase; P110α; PI3K/AKT/mTOR pathway; Synthetic lethality; Cell culture; Signal transduction; Cell biology; Cancer; Breast cancer; Mutant; Gene; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016566,0.0005822459,0.0008947111,0.0003619097,0.0001327781,0.0005158276,0.0004235826,0.0005614798,0.002499202],"category_scores_gemma":[0.0006637676,0.0001672791,0.0004406489,0.0002843555,0.0003360528,0.0003585908,0.0002177426,0.0007298753,0.0003393136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580609,"about_ca_system_score_gemma":0.0005518119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283704,"about_ca_topic_score_gemma":0.0007457834,"domain_scores_codex":[0.9997569,0.00009218881,0.00002903066,0.00003700296,0.00004504357,0.00003981964],"domain_scores_gemma":[0.9997061,0.00009868319,0.00009879911,0.00001977634,0.00001614555,0.00006052828],"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":[0.1005297,0.008921017,0.004007356,0.001724361,0.0008952981,0.0004983158,0.0001081205,0.002694544,0.60208,0.002221403,0.003713356,0.2726065],"study_design_scores_gemma":[0.07741182,0.428751,0.02844699,0.0004721515,0.002689611,0.002236227,0.0002028759,0.009400628,0.4104888,0.002357288,0.03742487,0.0001176684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955698,0.0190393,0.01033602,0.001362463,0.0004170267,0.003406269,0.001738073,0.0004061533,0.007596827],"genre_scores_gemma":[0.9811917,0.006177993,0.005612812,0.0006083313,0.0001224018,0.002461477,0.001064898,0.00005949536,0.002700988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002499202,"threshold_uncertainty_score":0.008761108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286549132681845,"score_gpt":0.445071612604939,"score_spread":0.3164166993367545,"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."}}