{"id":"W2051662511","doi":"10.1038/nature06444","title":"Net carbon dioxide losses of northern ecosystems in response to autumn warming","year":2008,"lang":"en","type":"article","venue":"Nature","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1197,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Université Laval","funders":"","keywords":"Environmental science; Carbon dioxide; Ecosystem; Carbon dioxide in Earth's atmosphere; Global warming; Atmospheric sciences; Terrestrial ecosystem; Photosynthesis; Ecosystem respiration; Climate change; Carbon cycle; Climatology; Primary production; Ecology; Biology; Botany; 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":[0.0002405305,0.0002826726,0.0003808326,0.0002363644,0.0004401867,0.0005363181,0.0002168806,0.0004673376,0.001502184],"category_scores_gemma":[0.0004436541,0.0002366296,0.0003687794,0.000292569,0.0003201603,0.0005222552,0.0002907579,0.0003137959,0.0002742598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005687805,"about_ca_system_score_gemma":0.0002926019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090651,"about_ca_topic_score_gemma":0.01819517,"domain_scores_codex":[0.9999487,0.00000956089,0.000003494253,0.0000159693,0.000007164854,0.00001512853],"domain_scores_gemma":[0.9997576,0.00007173921,0.00004853224,0.00002961371,0.00003783709,0.00005474667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009421295,0.0001839779,0.530443,0.0001808827,0.0004182389,0.0003744886,0.0007907666,0.01506467,0.4293728,0.0005794953,0.0007831132,0.01238731],"study_design_scores_gemma":[0.00001465358,0.00008690187,0.991742,0.000002237415,0.00002591509,0.00007473555,0.0001094522,0.002493116,0.004872327,0.0001858445,0.0003866556,0.000005977347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991664,0.00006482196,0.00007085602,0.0000289111,0.000002988406,9.927689e-7,0.0001683831,0.000007698603,0.0004888985],"genre_scores_gemma":[0.9984971,0.00004496991,0.00006124639,0.00001984252,0.000004076858,0.000005107302,0.0002880009,0.000009412938,0.001070312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090651,"threshold_uncertainty_score":0.02168608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004179904506432386,"score_gpt":0.1980306393967067,"score_spread":0.1938507348902743,"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."}}