{"id":"W2954927549","doi":"10.1029/2019gl082770","title":"Major Impact of Dust Deposition on the Productivity of the Arabian Sea","year":2019,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; York University; New York University Abu Dhabi","keywords":"Biogeochemical cycle; Biogeochemistry; Deposition (geology); Environmental science; Reactive nitrogen; Atmospheric sciences; Primary productivity; Nutrient; New production; Iron fertilization; Productivity; Primary production; Mineral dust; Nitrogen fixation; Nitrogen; Aerosol; Atmosphere (unit); Monsoon; Oceanography; Ecosystem; Environmental chemistry; Geology; Meteorology; Chemistry; Ecology; Geography; Phytoplankton; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005720308,0.00007171207,0.0001271264,0.0000416752,0.0001016261,0.00002451841,0.000345024,0.00002264773,0.0003890064],"category_scores_gemma":[0.0001043685,0.00003297845,0.0001354068,0.0004029397,0.0001705611,0.00008490332,0.00004527524,0.0003250775,0.0002186789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008515293,"about_ca_system_score_gemma":0.00005858702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02350679,"about_ca_topic_score_gemma":0.001126562,"domain_scores_codex":[0.9983221,0.0004039752,0.0001166073,0.000175202,0.0006992041,0.0002829488],"domain_scores_gemma":[0.9989689,0.0004428342,0.00005565523,0.0004183684,0.00006321838,0.00005101899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000397602,0.000156942,0.8866262,0.0001490898,0.00009375651,0.000004311923,0.0002002122,0.001129434,0.08433309,0.000521891,0.007703821,0.01868366],"study_design_scores_gemma":[0.00009189192,0.0003382839,0.9914402,0.00003244227,0.000002892648,0.000001174274,0.00003748214,0.001874063,0.00578547,0.0002378777,0.000111529,0.0000467434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893916,0.000005207975,0.000001616308,0.004357875,0.00007226072,0.0004076996,0.00004828627,0.000004109532,0.00571132],"genre_scores_gemma":[0.9994612,7.629965e-7,0.000002407214,0.0001037442,0.0001152477,0.00000220529,0.000008664723,0.00000223361,0.0003035697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104814,"threshold_uncertainty_score":0.9829957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237138449950668,"score_gpt":0.2628994879121512,"score_spread":0.2405281034126445,"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."}}