{"id":"W3015354784","doi":"10.5194/bg-17-1911-2020","title":"Drivers of diffusive CH <sub>4</sub> emissions from shallow subarctic lakes on daily to multi-year timescales","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Division of Arctic Sciences; Natural Sciences and Engineering Research Council of Canada; McGill University; National Science Foundation","keywords":"Environmental science; Atmospheric sciences; Trace gas; Flux (metallurgy); Water column; Biogeochemical cycle; Turbulence; Wind speed; Chemistry; Meteorology; Environmental chemistry; Physics; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003584874,0.0002830453,0.0002000077,0.0003977677,0.0003312606,0.0006504683,0.0002149984,0.0002847842,0.001100594],"category_scores_gemma":[0.0006220348,0.0002556859,0.0003260787,0.0004799803,0.0003726865,0.0006142588,0.0005554826,0.0002719803,0.0001399085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009736551,"about_ca_system_score_gemma":0.0004243766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03627905,"about_ca_topic_score_gemma":0.04144965,"domain_scores_codex":[0.9999272,0.00001002664,0.000005581912,0.00003107524,0.000009879462,0.00001622612],"domain_scores_gemma":[0.9995931,0.00007700491,0.0001832389,0.0000271643,0.00007613035,0.00004336106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170337,0.00002669478,0.9606143,0.0000668646,0.0001300836,0.0001287042,0.0003010452,0.003669002,0.0291597,0.0002569756,0.0003220563,0.005207527],"study_design_scores_gemma":[0.000003705893,0.000008711163,0.9940597,0.000004539655,0.00002053297,0.00002272409,0.0001167326,0.004305472,0.0009608525,0.00006906398,0.000420471,0.000007611378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989033,0.0001116286,0.0002477289,0.00006155601,0.000003449245,0.000002170316,0.0003662987,0.00001897899,0.000284917],"genre_scores_gemma":[0.999316,0.00005661371,0.00013342,0.00001508568,0.000004460605,0.000003938377,0.0003550325,0.000006370889,0.0001092496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03627905,"threshold_uncertainty_score":0.07213575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253034308093612,"score_gpt":0.2070474522031459,"score_spread":0.1945171091222098,"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."}}