{"id":"W17967139","doi":"10.2174/138920207781386942","title":"Gene Expression Profiling and its Practice in Drug Development","year":2007,"lang":"en","type":"article","venue":"Current Genomics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Toxicogenomics; Pharmacogenomics; DNA microarray; Computational biology; Gene expression profiling; Genome; Biology; Gene; Human genome; Drug development; Profiling (computer programming); Gene chip analysis; Microarray; Gene expression; Microarray analysis techniques; Bioinformatics; Genetics; Computer science; Drug","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":[0.0003912533,0.00009371224,0.00006495493,0.0000546755,0.00005475263,0.00001463258,0.00008545466,0.00005714433,0.000002829212],"category_scores_gemma":[0.00007255557,0.00009241739,0.00001441501,0.00005835143,0.00001159085,0.000005832224,0.00009665573,0.0000840263,0.000006737097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003705945,"about_ca_system_score_gemma":0.0001002565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.826258e-7,"about_ca_topic_score_gemma":0.000004949948,"domain_scores_codex":[0.9992412,0.00002793442,0.0002052248,0.0002780544,0.00008048156,0.0001670457],"domain_scores_gemma":[0.9996406,0.00001141699,0.00008761647,0.0001359251,0.0000529051,0.0000715632],"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":[0.00006392077,0.00005340046,0.0007224603,0.00001552317,0.000002901783,7.40102e-7,0.0003015493,0.00001760727,0.9661161,0.00003160334,0.0002781657,0.032396],"study_design_scores_gemma":[0.0002516516,0.000008200175,0.001365391,0.00001537755,0.000002268736,0.000003615605,0.0002056917,0.00001838134,0.7808926,0.000007208483,0.2171313,0.00009830308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858533,0.01029401,0.00286712,0.00004938849,0.0002945478,0.0001842119,0.000001707539,0.000006692423,0.0004490454],"genre_scores_gemma":[0.9910636,0.001747783,0.006730445,0.00007067913,0.000156384,0.00001943507,0.00007098441,0.0000130082,0.0001276651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2168532,"threshold_uncertainty_score":0.3768671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221700535996033,"score_gpt":0.3075907388729957,"score_spread":0.2854206852733924,"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."}}