{"id":"W2040218462","doi":"10.1593/neo.04301","title":"Stability and Heterogeneity of Expression Profiles in Lung Cancer Specimens Harvested Following Surgical Resection","year":2004,"lang":"en","type":"article","venue":"Neoplasia","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Toronto General Hospital; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Gene expression; Gene expression profiling; RNA extraction; Lung cancer; Real-time polymerase chain reaction; Biology; Reverse transcription polymerase chain reaction; Microarray; Gene; Complementary DNA; Pathology; Medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001350303,0.00009002747,0.0001161882,0.00003976575,0.0000388385,0.000009918412,0.00005799678,0.0001193471,0.00001630315],"category_scores_gemma":[0.00002506006,0.00008140146,0.00004829385,0.00009826599,0.00003704566,0.000007873294,0.00004943684,0.00006803759,2.908709e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003855086,"about_ca_system_score_gemma":0.00007332477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006921915,"about_ca_topic_score_gemma":0.000469162,"domain_scores_codex":[0.9992099,0.00006593695,0.0001886555,0.0002953606,0.00011474,0.0001254059],"domain_scores_gemma":[0.9996483,0.000006554984,0.00006855626,0.0001939295,0.00003136916,0.00005126538],"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":[0.0001560537,0.00005145431,0.1213814,0.00003376122,0.000007337495,0.000001738453,0.00007044541,0.00007045059,0.8779154,0.00002004368,0.00004678878,0.0002451931],"study_design_scores_gemma":[0.0009609993,0.00006376282,0.1149247,0.00006526824,0.000005225191,0.000003328994,0.00006832307,0.00002321159,0.8829737,0.00001891058,0.0008171588,0.00007544691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981943,0.0009881683,0.0001558244,0.00008737436,0.0001271075,0.0001903694,0.000008567721,0.000006896355,0.00024144],"genre_scores_gemma":[0.9994088,0.000193104,0.0002015704,0.00001107822,0.00006038819,0.00004810297,0.0000258922,0.000008586444,0.0000424137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006456727,"threshold_uncertainty_score":0.3319455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617463792416111,"score_gpt":0.2964558176069373,"score_spread":0.2802811796827762,"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."}}