{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007201355,0.0006957813,0.001284164,0.002714884,0.0005375356,0.002905626,0.001131344,0.001747995,0.002211659],"category_scores_gemma":[0.007525756,0.0003806718,0.0005863667,0.004433209,0.004364669,0.002143855,0.001414549,0.002926149,0.001998775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650336,"about_ca_system_score_gemma":0.001740796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140161,"about_ca_topic_score_gemma":0.0009272423,"domain_scores_codex":[0.9958127,0.002268506,0.0002430038,0.0005283636,0.001007324,0.0001399841],"domain_scores_gemma":[0.9966549,0.001764788,0.0003092822,0.0005445508,0.0005887577,0.0001378358],"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":[0.0003108176,0.0001484415,0.004566935,0.001810722,0.000132047,0.0003332045,0.0005887298,0.003011155,0.009820154,0.1651507,0.02679874,0.7873285],"study_design_scores_gemma":[0.00005626562,0.0006214317,0.007530168,0.001617987,0.0001468099,0.001968685,0.000753989,0.006543849,0.01722375,0.1683076,0.7950975,0.0001320484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01329363,0.5092536,0.3488804,0.05192221,0.003599637,0.0003152123,0.001010918,0.001055371,0.07066894],"genre_scores_gemma":[0.205419,0.5375457,0.221909,0.01266772,0.003369045,0.0008228487,0.0007786023,0.0002576621,0.01723037],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007201355,"threshold_uncertainty_score":0.03808486,"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."}}