{"id":"W2099505694","doi":"10.1158/2159-8290.cd-11-0224","title":"Essential Gene Profiles in Breast, Pancreatic, and Ovarian Cancer Cells","year":2011,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; St. Michael's Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Small hairpin RNA; Biology; Breast cancer; Ovarian cancer; Pancreatic cancer; Cancer; Gene; Functional genomics; Computational biology; Genomics; Genome; Synthetic lethality; Bioinformatics; Cancer research; Genetics; Mutant; RNA","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":[0.00005234797,0.000156028,0.0001694258,0.00003665316,0.00003723784,0.00003972229,0.0001154325,0.00009834136,0.0000935014],"category_scores_gemma":[0.000004950023,0.000152309,0.00004595868,0.0000647735,0.00009119071,0.00001156682,0.0001174265,0.00006466165,0.000002234701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003877536,"about_ca_system_score_gemma":0.0002308771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003778163,"about_ca_topic_score_gemma":0.001419513,"domain_scores_codex":[0.9991273,0.00001940741,0.0001714933,0.0003634247,0.00006737207,0.0002509686],"domain_scores_gemma":[0.9995961,0.000007653523,0.00006474574,0.0002263068,0.00002867507,0.00007655506],"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":[0.0003640508,0.0001040043,0.1526318,0.00006195894,0.00009772743,0.00001842545,0.0002500789,0.0001136557,0.8396798,0.0003205767,0.002271526,0.004086387],"study_design_scores_gemma":[0.001053169,0.00007191714,0.149583,0.0000628763,0.00006931294,0.00001417071,0.00008458705,0.00004885441,0.8455074,0.0002747878,0.002846377,0.0003836308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922472,0.005619449,0.000227254,0.0001009807,0.0004217491,0.0001895343,0.000505281,0.000005316276,0.0006831904],"genre_scores_gemma":[0.9872788,0.01091893,0.0002521872,0.0003417801,0.0005537081,0.000159217,0.00004782885,0.00002792422,0.0004196475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005827512,"threshold_uncertainty_score":0.6210979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008949994002293536,"score_gpt":0.2285446214838701,"score_spread":0.2195946274815765,"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."}}