{"id":"W2064237923","doi":"10.1006/geno.2001.6675","title":"Characterization of Variability in Large-Scale Gene Expression Data: Implications for Study Design","year":2002,"lang":"en","type":"article","venue":"Genomics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill Genome Centre; McGill University Health Centre","funders":"","keywords":"Replicate; Biology; Gene expression; Computational biology; Gene expression profiling; Gene; DNA microarray; Genetics; RNA; Biological system; Statistics; Mathematics","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":[0.0005882562,0.00007293001,0.00009745316,0.00003459491,0.00004772153,0.00000855154,0.0002518995,0.00007477206,0.00001186117],"category_scores_gemma":[0.0000668416,0.00007398949,0.00002170513,0.00007901827,0.00001366109,0.000006710648,0.0001103339,0.00002932401,0.000001206493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001852826,"about_ca_system_score_gemma":0.000029444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001146066,"about_ca_topic_score_gemma":0.000006604345,"domain_scores_codex":[0.9991373,0.000120251,0.0002398243,0.0003485428,0.00004017677,0.0001138854],"domain_scores_gemma":[0.9989974,0.00001588702,0.0001140649,0.0007805625,0.00006174496,0.00003033689],"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":[0.00003847852,0.0003801089,0.007629335,0.000006820794,0.000005223227,1.761821e-8,0.0001937461,0.00006694646,0.9892974,0.000007104944,0.0003050476,0.002069733],"study_design_scores_gemma":[0.0009764712,0.000135656,0.0743387,0.000004650649,0.00001572855,7.047669e-7,0.0001528353,0.003937896,0.9101885,0.0000924374,0.01001616,0.0001402551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5925347,0.00003715794,0.4065115,0.00007655085,0.00005381718,0.0005662935,0.0001895875,0.000003984661,0.00002647973],"genre_scores_gemma":[0.9909368,0.0001216513,0.007752791,0.00004109497,0.00008133643,0.0001528911,0.0008073904,0.00001264908,0.00009341301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3987587,"threshold_uncertainty_score":0.3017204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05720001007938594,"score_gpt":0.292345021835385,"score_spread":0.2351450117559991,"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."}}