{"id":"W2016202997","doi":"10.1038/nclimate1289","title":"Ocean carbon uptake and storage influenced by wind bias in global climate models","year":2011,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"","keywords":"Environmental science; Wind stress; Climatology; Carbon dioxide in Earth's atmosphere; Ocean current; Climate model; Thermohaline circulation; Climate change; Atmospheric sciences; Southern Hemisphere; Northern Hemisphere; Carbon sequestration; Carbon dioxide; Oceanography; Geology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000715017,0.0003288581,0.0003329289,0.00005324457,0.0001157427,0.00003951873,0.0003086272,0.0005444345,0.0003008],"category_scores_gemma":[0.00004360602,0.0003051611,0.000058727,0.0003812499,0.0002209793,0.0006042725,0.0005084089,0.0005142239,0.00002337567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904433,"about_ca_system_score_gemma":0.000006095457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084317,"about_ca_topic_score_gemma":0.000686594,"domain_scores_codex":[0.9976814,0.00008441142,0.0003664797,0.0007132321,0.0003380452,0.0008164597],"domain_scores_gemma":[0.9991851,0.0000416398,0.0001286542,0.0004169456,0.00001304308,0.0002145523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005649568,0.0009297975,0.9660427,0.0002948334,0.00002810395,0.0001477934,0.01776972,0.0008677064,0.00259437,0.006051779,0.0007493065,0.003958956],"study_design_scores_gemma":[0.005416612,0.0007326395,0.8471924,0.0005470438,0.0001757822,0.0001019562,0.002168933,0.1033595,0.0009658669,0.03300613,0.003202185,0.00313096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770704,0.0005976684,0.00000184038,0.0001739998,0.0002312584,0.0005341429,0.0004106832,0.00009354299,0.02088649],"genre_scores_gemma":[0.9976799,0.001107391,0.0002069581,0.0008771439,0.00004286628,0.00001266157,0.00003602079,0.0000260713,0.00001100423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188503,"threshold_uncertainty_score":0.99994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05516599090725829,"score_gpt":0.263685713458942,"score_spread":0.2085197225516837,"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."}}