{"id":"W2109229071","doi":"10.5194/acp-10-10421-2010","title":"Atmospheric three-dimensional inverse modeling of regional industrial emissions and global oceanic uptake of carbon tetrachloride","year":2010,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; University of Bristol; Commonwealth Scientific and Industrial Research Organisation; Australian Government; National Aeronautics and Space Administration; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation","keywords":"Environmental science; Atmospheric sciences; Carbon tetrachloride; Sink (geography); Climatology; Ozone; Meteorology; Chemistry; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002768956,0.0004512756,0.0003314521,0.0003099795,0.0004732553,0.0006092527,0.0005967515,0.0007979627,0.0005901409],"category_scores_gemma":[0.00059643,0.0004276553,0.0009756209,0.000361246,0.0004557078,0.0004071838,0.0004190317,0.0006434519,0.00008695924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142198,"about_ca_system_score_gemma":0.001405793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1502781,"about_ca_topic_score_gemma":0.06078142,"domain_scores_codex":[0.9999099,0.00002264872,0.000004967871,0.00002915492,0.00001548018,0.00001778048],"domain_scores_gemma":[0.9998191,0.00007275613,0.0000280123,0.00001474182,0.00004336159,0.00002197845],"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":[0.00003660874,0.00003938975,0.005817077,0.00000777417,0.00003410495,0.00002634891,0.00001468815,0.9900496,0.002317823,0.0003939251,0.00008390036,0.001178742],"study_design_scores_gemma":[0.00001035427,0.00000584637,0.001607635,5.718682e-7,0.000006239641,0.000001552423,0.000004095578,0.9979097,0.000328527,0.0000730417,0.00004801599,0.000004458615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837123,0.00006636316,0.01326026,0.0002026385,0.000024078,0.00001427314,0.0004025691,0.0001975709,0.002120059],"genre_scores_gemma":[0.9964896,0.00003216779,0.002875459,0.00001448781,0.000005264621,0.00001069178,0.0001664841,0.0000137927,0.0003920276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1502781,"threshold_uncertainty_score":0.2988067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806042816674744,"score_gpt":0.2119423716612088,"score_spread":0.1938819434944614,"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."}}