{"id":"W3022351912","doi":"10.1016/j.ddtec.2004.09.005","title":"From differential gene expression to differential gene function and back","year":2004,"lang":"en","type":"article","venue":"Drug Discovery Today Technologies","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Identification (biology); Differential (mechanical device); Gene expression; Computational biology; Function (biology); Biology; Gene; Nucleic acid; Genome; Expression (computer science); Differential display; microRNA; Genetics; Computer science; Engineering","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":[0.00003209932,0.0002497622,0.0001866871,0.0001066802,0.0001301263,0.0001150527,0.0002862174,0.0002612895,0.00004312528],"category_scores_gemma":[0.00004047259,0.0002081965,0.00007776667,0.000117777,0.0001090542,0.000023604,0.0004633226,0.0001254991,0.00003177478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003252366,"about_ca_system_score_gemma":0.00003766278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004027471,"about_ca_topic_score_gemma":0.00001511021,"domain_scores_codex":[0.9986311,0.00002802659,0.0002197182,0.0006806757,0.0001792473,0.0002612313],"domain_scores_gemma":[0.9991963,0.000006591697,0.00009237251,0.000607703,0.00003480724,0.000062229],"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":[0.000204091,0.00008517572,0.0006448572,0.00000686839,0.00002617599,8.185584e-7,0.00005043528,0.00007316225,0.9920695,0.0001119017,0.00254956,0.004177495],"study_design_scores_gemma":[0.0008588739,0.0001303248,0.007589452,0.0000369827,0.00002206103,0.000001879767,0.0005120564,0.000005689254,0.9829835,0.002251881,0.005325712,0.0002815876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282891,0.0006266991,0.0690858,0.0009763212,0.0004899203,0.0002340607,0.00007828633,0.0001326385,0.0000872312],"genre_scores_gemma":[0.9964924,0.0004454358,0.001491992,0.000102622,0.0002403213,0.00008775463,0.0003621813,0.0000274698,0.0007498284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06820335,"threshold_uncertainty_score":0.8490006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007931010455508857,"score_gpt":0.2239752955618761,"score_spread":0.2160442851063672,"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."}}