{"id":"W4387330642","doi":"10.1111/mec.17152","title":"Environmental transcriptomics under heat stress: Can environmental <scp>RNA</scp> reveal changes in gene expression of aquatic organisms?","year":2023,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Transcriptome; Gene expression; Environmental stress; Gene; Genetics; Heat stress; RNA-Seq; RNA; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002007393,0.0003478103,0.0004127095,0.0001510238,0.000163823,0.000009627373,0.0004439658,0.0002404377,0.0006202782],"category_scores_gemma":[0.00001967442,0.0003792461,0.000104694,0.0002299419,0.0007265782,0.00009969591,0.000743856,0.0002345528,0.000672575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007399879,"about_ca_system_score_gemma":0.000005122587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001164472,"about_ca_topic_score_gemma":0.0003286164,"domain_scores_codex":[0.9975842,0.0002001596,0.000362665,0.0006905101,0.0004732036,0.0006892445],"domain_scores_gemma":[0.9992219,0.0001159083,0.0001137959,0.0004013661,5.982833e-7,0.0001463915],"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":[0.000005087651,0.0001757636,0.4232514,0.000007589646,0.00001901085,0.00008551226,0.0007747582,0.001506713,0.5737993,0.00000161294,0.0002955232,0.00007775051],"study_design_scores_gemma":[0.0005787977,0.0001677636,0.5229459,0.000008469789,0.00002871498,0.000006981046,0.002040324,0.00007026514,0.4738183,0.0001231218,0.0000949782,0.0001163964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983131,0.0001235353,0.00005282876,0.0003558468,0.0001574113,0.0004987162,0.0002584436,0.00004624783,0.0001938528],"genre_scores_gemma":[0.9973846,0.0005022872,0.001106931,0.0004597645,0.00001485646,0.00004664117,0.0001724009,0.00004468168,0.0002678199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.099981,"threshold_uncertainty_score":0.9998659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837275454540634,"score_gpt":0.1885879347123122,"score_spread":0.1802151801669059,"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."}}