{"id":"W1918930907","doi":"10.1139/z2012-011","title":"Insect cold hardiness: metabolic, gene, and protein adaptation<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":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":234,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biology; Hardiness (plants); Cryoprotectant; Adaptation (eye); Insect; Gene; Freezing tolerance; Cell biology; Ecology; Evolutionary biology; Genetics; Cryopreservation; Botany; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003398365,0.0001461179,0.0004987207,0.0001230375,0.00009058444,0.000007958764,0.0001653884,0.0000944901,0.00000776536],"category_scores_gemma":[0.0003852226,0.00009204366,0.00002125526,0.0004033417,0.001030493,0.0002803793,0.00009458779,0.0002307583,6.956796e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007888167,"about_ca_system_score_gemma":0.0001412929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005705297,"about_ca_topic_score_gemma":0.004954339,"domain_scores_codex":[0.998727,0.0002227105,0.000539556,0.0001793301,0.0000900622,0.0002413676],"domain_scores_gemma":[0.9991366,0.0003077044,0.0003603247,0.00009961036,0.00004200028,0.00005372863],"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":[0.0007590859,0.0004818543,0.3074469,0.001288716,0.0002959532,0.00001519462,0.02206728,0.001834322,0.6285203,0.02998825,0.0002316538,0.007070482],"study_design_scores_gemma":[0.001758007,0.0007822324,0.9206194,0.0008793529,0.0001413014,0.0001713267,0.004633214,0.0001103683,0.04785632,0.006191519,0.01643073,0.0004261865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713669,0.02690808,0.00002541885,0.001248424,0.00001546958,0.0003863402,0.0000392535,0.000002098646,0.00000798116],"genre_scores_gemma":[0.967554,0.03164329,0.0004573349,0.0002979251,0.00000839549,0.0000296144,0.000003599828,0.00000496256,8.481988e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6131725,"threshold_uncertainty_score":0.3796895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08883346946534347,"score_gpt":0.2413041010541945,"score_spread":0.152470631588851,"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."}}