{"id":"W2617433288","doi":"","title":"Carbon Cycle Response to Artificial Atmospheric Carbon Dioxide Removal","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carbon dioxide; Carbon dioxide in Earth's atmosphere; Environmental science; Carbon cycle; Atmospheric carbon cycle; Carbon fibers; Negative carbon dioxide emission; Carbon dioxide removal; Atmospheric sciences; Chemistry; Carbon sequestration; Materials science; Ecology; Geology; Ecosystem; Biology","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":[0.0001676687,0.0003291411,0.0002575061,0.0001389104,0.0003827525,0.0005536199,0.0002956706,0.0007903178,0.001347598],"category_scores_gemma":[0.0004028336,0.00009482226,0.0003485224,0.0002032106,0.0003861503,0.0002239613,0.0002022482,0.0004387437,0.0001909135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053977,"about_ca_system_score_gemma":0.0006758896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009324242,"about_ca_topic_score_gemma":0.01205457,"domain_scores_codex":[0.9998236,0.00001736459,0.000007236642,0.00004358302,0.00006098209,0.00004710776],"domain_scores_gemma":[0.9998038,0.00006886586,0.00001826817,0.00001239334,0.00007429994,0.00002241467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001441008,0.000116683,0.002952877,0.00006696547,0.00003184476,0.0001006294,0.00002782995,0.006232895,0.982442,0.0002782668,0.0005340069,0.005775119],"study_design_scores_gemma":[0.00005734183,0.0005834359,0.01845871,0.000005073679,0.00002866508,0.00006149657,0.0001030606,0.02867682,0.9485978,0.0003679025,0.003032168,0.00002750307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951514,0.0002273774,0.001141095,0.0003107276,0.0001605911,0.00002026908,0.0002227988,0.00005491032,0.002710763],"genre_scores_gemma":[0.998153,0.00007822123,0.0003505041,0.00009182042,0.000009585397,0.000009039399,0.0001072272,0.000008410304,0.00119203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009324242,"threshold_uncertainty_score":0.01853997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006737988460659109,"score_gpt":0.2030223942248058,"score_spread":0.1962844057641466,"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."}}