{"id":"W1869957243","doi":"10.1186/1471-2105-6-183","title":"Inconsistencies over time in 5% of NetAffx probe-to-gene annotations","year":2005,"lang":"en","type":"letter","venue":"BMC Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics","funders":"Ministry of Education, India","keywords":"DNA microarray; Microarray; Microarray databases; Annotation; Microarray analysis techniques; Computational biology; Biology; Gene; Gene Annotation; Genetics; Set (abstract data type); Genome; Bioinformatics; Computer science; Gene expression","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":[0.0001271777,0.0002217462,0.0002583436,0.0002512267,0.00003203635,0.00002497351,0.0002906694,0.0005496549,0.00005487992],"category_scores_gemma":[0.00007702917,0.0002089299,0.0001125716,0.0002347313,0.00006201875,0.000008276113,0.0001142144,0.0002454607,0.00008019183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000359499,"about_ca_system_score_gemma":0.0003056964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006144385,"about_ca_topic_score_gemma":0.00003393755,"domain_scores_codex":[0.9986544,0.00004075605,0.0006244604,0.0002019422,0.0002410752,0.0002373221],"domain_scores_gemma":[0.998935,0.0000166668,0.0003259227,0.0005501203,0.0001227507,0.00004956808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002136469,0.00003303035,0.000346429,0.0002485971,0.00002385988,7.492129e-7,0.0002398369,0.0005597924,0.02906469,0.000007182531,0.9681728,0.001281711],"study_design_scores_gemma":[0.0004513383,0.0001230134,0.002181064,0.0001128436,0.00002852399,0.000007370776,0.00006170209,0.003363124,0.01769202,0.00002375751,0.9755701,0.0003851785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1209179,0.007385456,0.2160022,0.5089434,0.004775948,0.01666138,0.005409401,0.0004704123,0.1194339],"genre_scores_gemma":[0.007700469,0.0005184562,0.3917356,0.5490356,0.004258491,0.0005588278,0.01103738,0.0002105278,0.03494464],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1757334,"threshold_uncertainty_score":0.8519914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633046268354742,"score_gpt":0.2503158012860126,"score_spread":0.2339853386024652,"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."}}