{"id":"W4231751230","doi":"10.3410/f.1165634.630340","title":"Faculty Opinions recommendation of Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1.","year":2009,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"KRAS; Computational biology; RNA interference; Cancer research; Genetics; Cancer; Biology; RNA; Gene; Colorectal cancer","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":[0.00132083,0.001737597,0.001464122,0.002713179,0.0006213638,0.002037778,0.002387068,0.001819404,0.05656523],"category_scores_gemma":[0.007205318,0.0006163087,0.001296565,0.004653787,0.0003068966,0.0009962958,0.001280286,0.00157056,0.05855812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355371,"about_ca_system_score_gemma":0.003054177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208899,"about_ca_topic_score_gemma":0.05307749,"domain_scores_codex":[0.998611,0.0001708113,0.0001562483,0.0004020209,0.0004739453,0.0001859496],"domain_scores_gemma":[0.9962389,0.001035114,0.0005622169,0.0008899887,0.0008533012,0.000420372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002224454,0.00002893345,0.002612965,0.000658898,0.00007747137,0.00003753924,0.00001199373,0.0002456988,0.0004464892,0.0002781196,0.9920806,0.003298964],"study_design_scores_gemma":[0.0006283091,0.00004118858,0.01946619,0.0003046668,0.0001761335,0.0001387244,0.00005373613,0.001162256,0.002726952,0.001192633,0.9740636,0.00004570919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000305051,0.00005957831,0.00007093645,0.00009465155,0.0000193324,0.000007655813,0.9983698,0.000299997,0.0007730895],"genre_scores_gemma":[0.0007590026,0.00005500349,0.0002403714,0.0000561531,0.000005363885,0.00002053293,0.9980357,0.00005938596,0.0007684499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05656523,"threshold_uncertainty_score":0.1892295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842918867861612,"score_gpt":0.3497159588096614,"score_spread":0.3112867701310453,"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."}}