{"id":"W2982108024","doi":"10.1038/s41467-019-12905-z","title":"Unexpected large evasion fluxes of carbon dioxide from turbulent streams draining the world’s mountains","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"STREAMS; Environmental science; Carbon cycle; Hydrology (agriculture); Ecosystem; Geology; Ecology","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":[0.0001897865,0.0001875374,0.0001630827,0.0004622833,0.0003074103,0.0006196963,0.0001136648,0.0002613355,0.0005489406],"category_scores_gemma":[0.0003247413,0.0001184455,0.0001455352,0.0006998982,0.0002710639,0.0003252373,0.0002950724,0.0002258811,0.00006006849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588933,"about_ca_system_score_gemma":0.000129807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178808,"about_ca_topic_score_gemma":0.004323266,"domain_scores_codex":[0.99993,0.0000118757,0.000002812807,0.00002104493,0.00001575978,0.00001848661],"domain_scores_gemma":[0.999814,0.00004644159,0.00005993116,0.00001652976,0.000039583,0.00002350497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004846058,0.00005125245,0.8425237,0.0001106157,0.0002138725,0.00131818,0.0005597192,0.003238474,0.1360886,0.0009576049,0.0008503714,0.01360297],"study_design_scores_gemma":[0.00001343757,0.00003922918,0.9880028,0.000007167886,0.00004124495,0.0001564904,0.0002823957,0.004556606,0.005532671,0.0002894301,0.001064938,0.00001358556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990093,0.00009539586,0.0003021759,0.00004169449,0.000004369176,0.000001533258,0.0001690925,0.00001143278,0.0003650691],"genre_scores_gemma":[0.9995894,0.00004667757,0.0001475277,0.00001103927,0.000008841081,0.000001282304,0.0001348386,0.000002902545,0.00005758295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003178808,"threshold_uncertainty_score":0.006320596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00721872319090242,"score_gpt":0.2375177938596275,"score_spread":0.230299070668725,"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."}}