{"id":"W4321492257","doi":"10.5194/egusphere-egu23-1333","title":"Synthesis, homogenisation and regionalisation of inland water greenhouse gas budget estimates for the RECCAP2 initiative","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Greenhouse gas; Environmental science; Water cycle; Carbon dioxide; Global warming; Surface water; Nitrous oxide; Atmosphere (unit); Hydrology (agriculture); Climate change; Geography; Environmental engineering; Oceanography; Meteorology; Ecology; Geology","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":[0.004200652,0.001258325,0.0009648463,0.005651183,0.0002476863,0.00165565,0.0009973258,0.0004719469,0.003993653],"category_scores_gemma":[0.007793416,0.0005712724,0.001682644,0.009597021,0.0002273969,0.001251581,0.001806084,0.0007052812,0.00141821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529673,"about_ca_system_score_gemma":0.002456051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02810827,"about_ca_topic_score_gemma":0.02446122,"domain_scores_codex":[0.99774,0.0005501545,0.0003577115,0.0004468912,0.0007746356,0.0001306579],"domain_scores_gemma":[0.9951671,0.001038635,0.0004961737,0.0006104633,0.002594834,0.00009274737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000998362,0.0001994935,0.05969138,0.01531619,0.003539961,0.0007853283,0.001753653,0.2161844,0.02001872,0.03049081,0.1770046,0.4740172],"study_design_scores_gemma":[0.000143969,0.0001694935,0.1237604,0.002250867,0.001311323,0.0001460548,0.001120017,0.02490743,0.01574476,0.007169694,0.8231173,0.0001587203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1323819,0.01666331,0.1651427,0.002661548,0.001326996,0.001137343,0.6062784,0.002988557,0.07141931],"genre_scores_gemma":[0.3558574,0.01049841,0.2266342,0.0006766909,0.000403028,0.003421239,0.3945314,0.001838179,0.006139267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02810827,"threshold_uncertainty_score":0.05588931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186388873602306,"score_gpt":0.2385452551897286,"score_spread":0.2066813664537056,"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."}}