{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985926,0.0004302689,0.0004180653,0.000237202,0.0003252432,0.0007080805,0.0004330813,0.0005900917,0.001512789],"category_scores_gemma":[0.0009569529,0.0002037834,0.0007807115,0.0003164535,0.0006566378,0.0004242935,0.0006505207,0.0005360178,0.00005439353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009513031,"about_ca_system_score_gemma":0.0006231317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02511806,"about_ca_topic_score_gemma":0.009792976,"domain_scores_codex":[0.9998395,0.00006099795,0.000008587414,0.00002263635,0.0000227038,0.00004555401],"domain_scores_gemma":[0.9996344,0.0001472682,0.00007516776,0.00004028232,0.00003897302,0.00006383361],"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":[0.0002595439,0.0001566892,0.03678965,0.00004168017,0.0001584404,0.0003334097,0.00004331291,0.9422613,0.01463812,0.001879872,0.000355212,0.003082683],"study_design_scores_gemma":[0.0002372272,0.000536999,0.04212337,0.000007169683,0.000109465,0.00004087323,0.0001269897,0.9484788,0.006600289,0.00105017,0.0006498913,0.00003879203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982401,0.00002943961,0.0005058573,0.00009402142,0.00000945444,0.000005687379,0.00008288439,0.00003573664,0.0009968578],"genre_scores_gemma":[0.999708,0.00001469186,0.0001434655,0.00001994384,0.000002022394,0.00000283332,0.00002951784,0.000003899989,0.00007559443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02511806,"threshold_uncertainty_score":0.04994369,"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."}}