{"id":"W2525540518","doi":"","title":"Modelling the marine biogeochemical implications of aeolian, sedimentary and riverine iron supply","year":2015,"lang":"en","type":"dissertation","venue":"Helmholtz Centre for Ocean Research Kiel (GEOMAR)","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; European Commission; University of Victoria; McGill University","keywords":"Biogeochemical cycle; Iron fertilization; Phytoplankton; Deposition (geology); Biogeochemistry; Environmental science; Aeolian processes; Oceanography; Sediment; Chemical oceanography; Carbon cycle; Environmental chemistry; Earth science; Nutrient; Geology; Ecosystem; Chemistry; Ecology; Geomorphology","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":[0.001095534,0.0003172775,0.0003852098,0.000267778,0.0004798226,0.0002129496,0.0006837397,0.0001337988,0.0007150943],"category_scores_gemma":[0.00007888975,0.000244373,0.0002072159,0.0004675327,0.0004892156,0.0001991866,0.0003763308,0.0005929603,0.00001936133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008061467,"about_ca_system_score_gemma":0.0005601002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003159942,"about_ca_topic_score_gemma":0.0001083952,"domain_scores_codex":[0.996766,0.0001299892,0.0004705693,0.0006828174,0.001013098,0.000937522],"domain_scores_gemma":[0.9972929,0.0004253068,0.0001716466,0.0007083602,0.0009829665,0.0004187876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002531422,0.001405235,0.1018491,0.001696647,0.0007204128,0.000007384113,0.004270548,0.0008939764,0.006506523,0.04672753,0.8124776,0.02091359],"study_design_scores_gemma":[0.007810903,0.0008965731,0.008859191,0.0009111942,0.0004449966,0.000008154676,0.05398859,0.0304792,0.06670224,0.5925837,0.2351293,0.00218601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725121,0.0006190641,0.0001729056,0.002289425,0.0002873208,0.002333533,0.00562776,0.0000296188,0.01612833],"genre_scores_gemma":[0.9301433,0.0002358594,0.001017127,0.00002369408,0.0007051742,0.00015556,0.03490673,0.0001019942,0.03271058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5773484,"threshold_uncertainty_score":0.9965243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296138044848815,"score_gpt":0.3471435838562793,"score_spread":0.3041822034077912,"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."}}