{"id":"W4408896144","doi":"10.2139/ssrn.5196615","title":"Thermal Profiling of Novel and Known Mirnas During Cold Acclimation in Aedes Aegypti","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Aedes aegypti; Acclimatization; Biology; Profiling (computer programming); microRNA; Ecology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000618766,0.0001299163,0.0001787956,0.0001535091,0.00009343282,0.0001497911,0.0000595968,0.0001334894,0.0009982098],"category_scores_gemma":[0.0001514186,0.00009959468,0.0001485365,0.0001213229,0.0001089725,0.0001422705,0.0001265352,0.0002116112,0.0002998006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169317,"about_ca_system_score_gemma":0.00005174342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008720422,"about_ca_topic_score_gemma":0.001660011,"domain_scores_codex":[0.9999503,0.000003345013,0.000002357664,0.00002498033,0.00001069087,0.000008310089],"domain_scores_gemma":[0.9999444,0.00001433019,0.00001831395,0.000004519436,0.00001190117,0.000006419934],"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":[0.0002875404,0.00000703978,0.00437018,0.00003304888,0.00001118902,0.00001701923,0.00004410067,0.00009717904,0.9928579,0.00003056693,0.00007430618,0.002169865],"study_design_scores_gemma":[0.00001568466,0.0003293665,0.7635719,0.00001360074,0.00007818366,0.0002678364,0.0001734499,0.001698355,0.2313981,0.00009942046,0.002334462,0.00001961117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964409,0.0006558143,0.0009261636,0.00002420076,0.00001582391,0.000005938871,0.001291522,0.00001776859,0.0006218633],"genre_scores_gemma":[0.9945225,0.0003690668,0.001169258,0.00009689914,0.00001005449,0.00002513007,0.001846704,0.0000223758,0.001938048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009982098,"threshold_uncertainty_score":0.003339291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473923490561306,"score_gpt":0.233286900951371,"score_spread":0.218547666045758,"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."}}