{"id":"W2551673791","doi":"10.1016/j.cryobiol.2016.09.136","title":"CryomiRs: Identification of microRNAs modulated at low temperatures in cold-hardy insects","year":2016,"lang":"en","type":"article","venue":"Cryobiology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Identification (biology); microRNA; Biology; Computational biology; Biological system; Ecology; Genetics; Gene","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":[0.00007655309,0.00007942581,0.0001317323,0.00002169148,0.00003223906,0.000002465931,0.0001603673,0.0001038304,0.000637035],"category_scores_gemma":[0.00008906837,0.00004594336,0.00003628271,0.0001457142,0.000315759,0.00004785178,0.0001271103,0.00004572931,0.0003079914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008455232,"about_ca_system_score_gemma":0.000004349798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005033036,"about_ca_topic_score_gemma":0.00003788361,"domain_scores_codex":[0.9992451,0.00005966611,0.0002366765,0.0002473246,0.00004651482,0.0001646926],"domain_scores_gemma":[0.999648,0.00008042187,0.00008149674,0.0001433034,0.000009087203,0.00003769892],"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":[0.00003452033,0.0000816636,0.01489013,0.000002777411,0.000003052449,0.000001136765,0.00002672125,0.00001710708,0.9841771,0.00008469561,0.0004982844,0.0001827684],"study_design_scores_gemma":[0.0002064491,0.00003912334,0.3224526,0.000008002795,0.000001565827,0.000001372021,0.000003304714,0.00001454548,0.6757045,0.001048899,0.000458516,0.00006105306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993815,0.00003060076,0.00002105625,0.0002153048,0.00005576064,0.0001148511,0.00002193811,0.00001599948,0.0001430346],"genre_scores_gemma":[0.9992456,0.00002305697,0.00005197411,0.000120831,0.00001262966,0.00001685635,0.00001587798,0.000003471632,0.0005096313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3084726,"threshold_uncertainty_score":0.6975086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008908799843972907,"score_gpt":0.210069905108356,"score_spread":0.201161105264383,"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."}}