{"id":"W2105133481","doi":"10.3816/clc.2009.n.045","title":"Understanding Prognostic Gene Expression Signatures in Lung Cancer","year":2009,"lang":"en","type":"review","venue":"Clinical Lung Cancer","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Lung cancer; Gene expression profiling; Gene signature; Medicine; Gene expression; DNA microarray; Computational biology; Bioinformatics; Microarray; Oncology; Gene; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004681379,0.0005158026,0.00117221,0.000157438,0.00009905,0.00005422267,0.0005219693,0.001261379,0.0002031323],"category_scores_gemma":[0.0002082725,0.0004156881,0.0005691048,0.0003427788,0.0001051069,0.000007598145,0.0001644464,0.0007913588,0.000003127535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169766,"about_ca_system_score_gemma":0.001066311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001157427,"about_ca_topic_score_gemma":0.00007075319,"domain_scores_codex":[0.9964569,0.0004295035,0.001153784,0.001195935,0.0002864329,0.0004774595],"domain_scores_gemma":[0.9982894,0.0001207901,0.0006287703,0.0006706582,0.00007412119,0.0002162615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002295741,0.0004195174,0.005192674,0.009754229,0.0004670936,0.00002788537,0.00004174143,0.0004110687,0.002462385,0.00008184993,0.3005061,0.6804059],"study_design_scores_gemma":[0.0006900411,0.00009286063,0.0003207927,0.01596215,0.0005600214,0.000001887374,0.00001191891,0.0001509762,0.0003223652,0.000031514,0.9811321,0.0007233786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009648263,0.9957113,0.0007782017,0.0001152639,0.001403455,0.001264605,0.00007485275,0.00002939103,0.0005264522],"genre_scores_gemma":[0.001598782,0.99349,0.0001473188,0.0003683335,0.001742326,0.0009135533,0.0002412228,0.00008358071,0.001414845],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.680626,"threshold_uncertainty_score":0.9998295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1454417708597023,"score_gpt":0.4586356216586567,"score_spread":0.3131938507989545,"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."}}