{"id":"W2291327510","doi":"10.1371/journal.pone.0150675","title":"Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell Lung Cancer Cells In Vitro","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre for Drug Research and Development; BC Cancer Agency","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Cisplatin; Biology; Cancer research; A549 cell; DNA repair; Gene expression; Lung cancer; Cell cycle; Apoptosis; Synthetic lethality; DNA damage; Cell growth; Cell biology; Gene; Genetics; Medicine; Chemotherapy; Pathology; DNA","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":[0.0001602157,0.00042243,0.0005347834,0.0003195617,0.0001310239,0.0003519538,0.0002035465,0.0002365768,0.0005752751],"category_scores_gemma":[0.0001230119,0.0001562378,0.0005871813,0.0003530284,0.0002233231,0.0001706727,0.0001284223,0.0003751084,0.0002261634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108789,"about_ca_system_score_gemma":0.0003029231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007022012,"about_ca_topic_score_gemma":0.001386564,"domain_scores_codex":[0.9997969,0.00002236845,0.00001434871,0.00005723909,0.00008369212,0.00002556002],"domain_scores_gemma":[0.9999064,0.0000374482,0.00002295846,0.000008261697,0.00001455816,0.00001037],"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":[0.00006338985,0.00001922725,0.0002786341,0.00003381834,0.00000539948,0.00001211227,0.000004885389,0.0002725177,0.998357,0.00002265954,0.00001444518,0.0009158698],"study_design_scores_gemma":[0.00001010234,0.0003322792,0.00990428,0.000003383362,0.00003971299,0.00007832122,0.00002578089,0.005797454,0.9826644,0.00005934608,0.001076801,0.000008181394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750334,0.001898056,0.01898544,0.0001702859,0.00004444504,0.00008600421,0.002322175,0.0002115204,0.001248639],"genre_scores_gemma":[0.9623802,0.003427563,0.02764547,0.0001409448,0.00001796554,0.0002510493,0.003428109,0.00003478937,0.002673886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007022012,"threshold_uncertainty_score":0.002255619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03590720588840894,"score_gpt":0.2403109409919784,"score_spread":0.2044037351035694,"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."}}