{"id":"W2038657864","doi":"10.2298/abs1203109j","title":"Effects of temperature and dietary nitrogen on genetic variation and covariation in gypsy moth larval performance traits","year":2012,"lang":"en","type":"article","venue":"Archives of Biological Sciences","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Gypsy moth; Lymantria dispar; Heritability; Larva; Biology; Phenotypic plasticity; Instar; Genetic variation; Zoology; Dry weight; Ecology; Evolutionary biology; Botany; Genetics","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":[0.0008117456,0.0004848421,0.0003948236,0.0008397643,0.0002406172,0.0004036643,0.0003210093,0.0003629231,0.0009703499],"category_scores_gemma":[0.001069894,0.0003581967,0.0003352526,0.0003796488,0.0006014004,0.0002305823,0.0005529686,0.0004531166,0.0001049376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005057686,"about_ca_system_score_gemma":0.0002791008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109493,"about_ca_topic_score_gemma":0.004794548,"domain_scores_codex":[0.9990888,0.0003776055,0.00005818713,0.000249052,0.0001450754,0.00008126422],"domain_scores_gemma":[0.9985853,0.0006054683,0.0003232144,0.0001772503,0.0000868104,0.0002219855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002855063,0.0003053058,0.1199795,0.00006172693,0.0005632393,0.0002638155,0.0004119886,0.001119369,0.8699849,0.0001978486,0.00006063229,0.004196687],"study_design_scores_gemma":[0.00002529223,0.0004274321,0.9834971,0.000004802348,0.0001015214,0.0001493957,0.00008870439,0.00230096,0.01316096,0.0000827312,0.0001356546,0.00002537621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996319,0.00004151334,0.0001602468,0.000005345856,0.000001595046,0.000003188025,0.00004909426,0.000004569576,0.0001026075],"genre_scores_gemma":[0.9992586,0.00003036672,0.000378016,0.00000985549,0.000001545261,0.0000135132,0.00009291152,0.00001399013,0.0002012115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002109493,"threshold_uncertainty_score":0.004292965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092336678907223,"score_gpt":0.2348332816327116,"score_spread":0.2239099148436393,"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."}}