{"id":"W2983947643","doi":"10.1016/j.cell.2019.10.014","title":"Gene Expression Changes and Community Turnover Differentially Shape the Global Ocean Metatranscriptome","year":2019,"lang":"en","type":"article","venue":"Cell","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":508,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Région Bretagne; Prince Albert II of Monaco Foundation; National Aeronautics and Space Administration; Fondation Veolia Environnement; King Abdullah University of Science and Technology; Eidgenössische Technische Hochschule Zürich; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Research Council; Gordon and Betty Moore Foundation; Agence Nationale de la Recherche; Helmut Horten Stiftung; Ministerio de Economía y Competitividad; National Science Foundation","keywords":"Biology; Transcriptome; Biogeochemistry; Gene; Microbial population biology; Ecology; Evolutionary biology; Gene expression; Computational biology; Genetics; Bacteria","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002057643,0.00009663277,0.0001153545,0.000005329126,0.0003513588,0.00001321719,0.0003802654,0.000075338,0.005846226],"category_scores_gemma":[0.000004247934,0.00006444393,0.00002841689,0.00005352186,0.0001998682,0.0000512228,0.0004120568,0.0003501691,0.0002752619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002497174,"about_ca_system_score_gemma":0.000002880116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002189205,"about_ca_topic_score_gemma":0.0009966521,"domain_scores_codex":[0.9990818,0.0005237313,0.00006810982,0.0001073778,0.00005264227,0.0001663676],"domain_scores_gemma":[0.9994716,0.000095288,0.00003708377,0.0003528692,0.000002983769,0.00004014431],"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":[0.00003708424,0.0001167952,0.02943646,0.00001361566,0.000007361599,6.467807e-7,0.001089127,0.00001655817,0.9668901,0.00001158124,0.002054554,0.0003261294],"study_design_scores_gemma":[0.001149272,0.0004782043,0.7780383,0.00001397061,0.00005884364,0.00001980716,0.0005376631,0.0002026463,0.1871625,0.003646097,0.02829166,0.000400994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925091,0.00009405856,0.00000856492,0.0001885584,0.0001675514,0.0001403687,0.00001506323,0.00001549536,0.006861275],"genre_scores_gemma":[0.9987183,0.00003435432,0.00005781295,0.0007214364,0.00001468019,0.00000139523,0.0000217838,0.000004744248,0.0004254611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7797275,"threshold_uncertainty_score":0.9950626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298878314535743,"score_gpt":0.2123614621024636,"score_spread":0.1993726789571062,"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."}}