{"id":"W2461234094","doi":"10.1002/2016gl070111","title":"Impacts of sea spray geoengineering on ocean biogeochemistry","year":2016,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"European Research Council","keywords":"Biogeochemistry; Environmental science; Upwelling; Oceanography; Phytoplankton; Seawater; Context (archaeology); Nutrient; Primary production; Ocean current; Atmospheric sciences; Ecosystem; Geology; Chemistry; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002798151,0.000128235,0.0001389033,0.00006378792,0.00005491317,0.00001498309,0.0002823843,0.00004252201,0.0005152599],"category_scores_gemma":[0.0002143296,0.00008929839,0.0000763003,0.0003335527,0.0002216585,0.0001173843,0.0002404159,0.0001987048,0.0008012151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640235,"about_ca_system_score_gemma":0.000005269844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003265816,"about_ca_topic_score_gemma":0.000007450467,"domain_scores_codex":[0.9981857,0.00002834541,0.0001328027,0.0002856343,0.000701483,0.0006660586],"domain_scores_gemma":[0.9990928,0.0003128201,0.00002322276,0.0003461921,0.00001315119,0.0002117904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002296158,0.00004891808,0.006755603,0.00002544125,0.00000830001,0.0000270712,0.00005452432,0.00008319908,0.9831191,0.00002342751,0.007276908,0.00255455],"study_design_scores_gemma":[0.0004777752,0.0001757459,0.06795956,0.0001906502,0.000004328593,0.000003792705,0.00002762111,0.0002425943,0.9262459,0.0001650374,0.004238144,0.0002688751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956202,0.000007462068,0.00003836821,0.003280893,0.00004224741,0.00009490774,0.00002619294,0.00003534271,0.0008543659],"genre_scores_gemma":[0.9995148,0.00001757225,0.00004385107,0.0001461179,0.0001468074,0.000005826867,0.000004420914,0.0000185571,0.0001019994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06120396,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694491543453889,"score_gpt":0.2815311867464356,"score_spread":0.2545862713118967,"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."}}