{"id":"W4393307373","doi":"10.1016/j.aquabot.2024.103775","title":"Editorial for the virtual special issue: The role of plants in regulating aquatic methane fluxes","year":2024,"lang":"en","type":"article","venue":"Aquatic Botany","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Methane; Greenhouse gas; Table (database); Environmental science; Aquatic ecosystem; Atmosphere (unit); Climate change; Global warming; Greenhouse effect; Aquatic plant; Fossil fuel; Methane emissions; Atmospheric sciences; Ecology; Meteorology; Geography; Biology; Geology; Macrophyte","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":[0.001018338,0.0001166264,0.0001926987,0.00004214649,0.00008901125,0.00008006899,0.0002796584,0.00005976136,0.0008448886],"category_scores_gemma":[0.0002238452,0.00006241132,0.00007589821,0.0001970352,0.00005602679,0.0001120879,0.00002017996,0.0001443361,0.0001359743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004708179,"about_ca_system_score_gemma":0.0000786528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007096099,"about_ca_topic_score_gemma":0.02568116,"domain_scores_codex":[0.9987521,0.0001035005,0.0003573368,0.0001794803,0.000371087,0.0002365476],"domain_scores_gemma":[0.9973194,0.002362103,0.00007403926,0.0001996229,0.000009747839,0.00003507029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002991499,0.00002362651,0.008988015,0.00007011182,0.0001120225,0.00000470115,0.002844656,0.0005370119,0.0002570168,0.001111992,0.05186573,0.933886],"study_design_scores_gemma":[0.0003757273,0.0004455553,0.002247216,0.0001219628,0.00005704487,0.000007855371,0.003589508,0.4810085,0.0002136551,0.01093306,0.5008284,0.0001715148],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7655065,0.008230163,0.0004930624,0.002224777,0.1699893,0.002941418,0.000324968,0.0001195969,0.0501702],"genre_scores_gemma":[0.9345045,0.00002533548,0.0000488412,0.00003066982,0.06462737,0.000008951555,0.0000129058,0.000005185761,0.0007362462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9337144,"threshold_uncertainty_score":0.9995157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009096880838188985,"score_gpt":0.2176952996239722,"score_spread":0.2085984187857832,"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."}}