{"id":"W1965990157","doi":"10.1029/2002gl016224","title":"Impact of deep‐ocean carbon sequestration on atmospheric CO<sub>2</sub> and on surface‐water chemistry","year":2003,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon sequestration; Environmental science; Supersaturation; Mixed layer; Atmospheric sciences; Carbon fibers; Carbon cycle; Atmospheric carbon cycle; Carbon dioxide; Environmental chemistry; Climatology; Chemistry; Geology; Materials science; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003749848,0.0006601461,0.0003946627,0.0001980516,0.0002447559,0.0004665133,0.0002628075,0.0006424928,0.002392238],"category_scores_gemma":[0.001070804,0.0003166645,0.0004997958,0.0001954191,0.0004413105,0.0005578564,0.0006996445,0.0002848985,0.0001518127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008974574,"about_ca_system_score_gemma":0.001001611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163657,"about_ca_topic_score_gemma":0.01206486,"domain_scores_codex":[0.9998311,0.00006253799,0.000006631708,0.00001815151,0.00002082204,0.00006061581],"domain_scores_gemma":[0.999419,0.0003555458,0.00007474051,0.00003557684,0.00005185762,0.00006343357],"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":[0.0026743,0.0001638194,0.0743133,0.0002781564,0.0003370771,0.0007575506,0.00005509421,0.8060057,0.09820946,0.003619922,0.000554049,0.01303163],"study_design_scores_gemma":[0.0004028181,0.001702941,0.1231376,0.00005624491,0.000567665,0.0002538483,0.0004443396,0.7621043,0.1014109,0.007071941,0.00274848,0.00009894787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961027,0.0001789338,0.0008684478,0.0001665769,0.00001254069,0.000006182084,0.0002845789,0.00004299089,0.002336989],"genre_scores_gemma":[0.9994681,0.00008162462,0.0001699825,0.00002495869,0.000001496385,0.00000289468,0.00007269224,0.000002995221,0.0001751146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163657,"threshold_uncertainty_score":0.02313763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789945545003657,"score_gpt":0.2768517743234862,"score_spread":0.2589523188734496,"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."}}