{"id":"W2802622405","doi":"10.1016/j.cryobiol.2017.12.037","title":"Identification of non-coding rnas modulated at low temperatures in animal models of cold adaptation","year":2018,"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); Adaptation (eye); Coding (social sciences); Biology; Computational biology; Cold-shock domain; Biological system; RNA; Ecology; Genetics; Neuroscience; Gene; Mathematics; Statistics","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":[0.00008486606,0.0000613905,0.000126701,0.00002389667,0.00003380206,0.000001787032,0.0001142445,0.00008471696,0.0001052392],"category_scores_gemma":[0.00003345999,0.00004774908,0.00002827687,0.0001826403,0.0003546738,0.00006781705,0.0000813541,0.00004509448,0.00003104574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004136124,"about_ca_system_score_gemma":0.000004452221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009320657,"about_ca_topic_score_gemma":0.00004800416,"domain_scores_codex":[0.9993553,0.00003332922,0.0002623382,0.0001814571,0.00005480582,0.0001127698],"domain_scores_gemma":[0.9997072,0.00003680769,0.0001159915,0.00009680791,0.00002096829,0.0000222018],"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":[0.00005640563,0.0000664215,0.00115988,0.000004836094,0.000002822655,2.073428e-7,0.0001699084,0.001578712,0.9964265,0.0003812374,0.00006413391,0.00008889035],"study_design_scores_gemma":[0.0001436109,0.0001414427,0.1081571,0.00000869685,0.000003043407,5.80366e-7,0.00003100064,0.06317307,0.8265949,0.001678267,0.00001142863,0.00005687194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985735,0.00001020582,0.0009435326,0.00003259156,0.00003308164,0.0001035826,0.00001347586,0.000007048327,0.0002829388],"genre_scores_gemma":[0.9995802,0.000007670013,0.0002530488,0.00003328225,0.00001488739,0.000007964282,0.00002180408,0.000002629891,0.00007853371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1698316,"threshold_uncertainty_score":0.1947151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936351618888309,"score_gpt":0.237645342296286,"score_spread":0.2182818261074029,"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."}}