{"id":"W2186652975","doi":"10.1139/z2012-010","title":"Insect omics research coming of age<sup>1</sup>This review is part of a virtual symposium on recent advances in understanding a variety of complex regulatory processes in insect physiology and endocrinology, including development, metabolism, cold hardiness, food intake and digestion, and diuresis, through the use of omics technologies in the postgenomic era.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering","keywords":"Biology; Computational biology; Omics; Insect; Transcriptome; Genome; Genomics; Function (biology); RNA interference; Profiling (computer programming); Gene; Bioinformatics; Evolutionary biology; Genetics; RNA; Ecology; Computer science; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008313286,0.0001402212,0.0005181998,0.0002823274,0.00008072079,0.000006752229,0.0002316437,0.0001641847,0.000001285442],"category_scores_gemma":[0.0005561712,0.0001041714,0.00002869106,0.0003383474,0.001039414,0.00002914124,0.00009905596,0.0003216867,1.387408e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007424114,"about_ca_system_score_gemma":0.0006105615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002929608,"about_ca_topic_score_gemma":0.01355333,"domain_scores_codex":[0.9984002,0.0003753974,0.0006426481,0.0001685963,0.00009682171,0.0003164066],"domain_scores_gemma":[0.998891,0.0002986371,0.000395064,0.0001870595,0.000189682,0.0000385618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001901935,0.0003482492,0.4781164,0.004292147,0.0005445743,0.00003391663,0.02969217,0.0008566677,0.4645116,0.01416943,0.0004648606,0.005068107],"study_design_scores_gemma":[0.005515515,0.004184439,0.4601576,0.00422578,0.0002695382,0.0007461886,0.02471942,0.00003743988,0.4352026,0.005235392,0.05879814,0.0009079218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271142,0.07206434,0.00001850543,0.0004705227,0.0000306429,0.0002555289,0.0000344552,6.71631e-7,0.00001107321],"genre_scores_gemma":[0.8839116,0.1156791,0.0002172614,0.000152298,0.00001519179,0.000008280589,0.000006887665,0.00000839213,9.169034e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05833328,"threshold_uncertainty_score":0.7563075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129064480378468,"score_gpt":0.2972578022041664,"score_spread":0.1843513541663196,"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."}}