{"id":"W4391110503","doi":"10.18822/edgcc625761","title":"Multi-model ensemble successfully predicted atmospheric methane consumption in soils across the complex landscape","year":2024,"lang":"en","type":"article","venue":"Environmental Dynamics and Global Climate Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Methane; Environmental science; Soil water; Atmospheric methane; Consumption (sociology); Atmospheric sciences; Earth science; Physical geography; Soil science; Geography; Geology; Ecology; Sociology","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":[0.0004168107,0.001040192,0.0009997755,0.0006187278,0.0004111923,0.001029228,0.0006592206,0.0009205912,0.001510828],"category_scores_gemma":[0.0009974897,0.0003140162,0.001593703,0.0006070953,0.0001974533,0.0009089035,0.0005326467,0.001107199,0.0002665734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406288,"about_ca_system_score_gemma":0.0007402138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03074644,"about_ca_topic_score_gemma":0.02459449,"domain_scores_codex":[0.9998615,0.0000345091,0.000007891767,0.00004058124,0.0000174388,0.00003813512],"domain_scores_gemma":[0.999775,0.00009593107,0.00001737159,0.00001991938,0.0000618583,0.00002993766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001492992,0.0001166045,0.02414924,0.0000685025,0.0002693588,0.0001017992,0.00004783231,0.9468442,0.00186233,0.0007149025,0.002075902,0.02360004],"study_design_scores_gemma":[0.000005731773,0.000007934553,0.001484999,0.000004150042,0.00002060478,0.000004014966,0.00001019469,0.9979205,0.0001264528,0.0002225132,0.0001871126,0.000005867133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367164,0.001828952,0.05275661,0.0007147632,0.0002891752,0.00002954251,0.002131409,0.001163485,0.00436961],"genre_scores_gemma":[0.9908023,0.000239379,0.006860884,0.00007434124,0.00004874367,0.00001791211,0.001293586,0.00005544238,0.0006073384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03074644,"threshold_uncertainty_score":0.06113493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257279154826247,"score_gpt":0.2655395627238324,"score_spread":0.24296677117557,"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."}}