{"id":"W1965090140","doi":"10.1038/ngeo108","title":"Nitrogen transfer from sea to land via commercial fisheries","year":2008,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Nitrogen; Environmental science; Fishery; Oceanography; Fish stock; Nitrogen fertilizer; Fertilizer; Fish <Actinopterygii>; Ecology; Biology; Geology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001194287,0.0001246817,0.0001538543,0.000052739,0.0003116815,0.00005001974,0.000390367,0.0001283143,0.001561765],"category_scores_gemma":[0.00003020549,0.00009732848,0.00004741999,0.0003944704,0.00008645319,0.0002315643,0.00002040163,0.0002750354,0.0003146973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003005483,"about_ca_system_score_gemma":0.00005808654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0266506,"about_ca_topic_score_gemma":0.05408574,"domain_scores_codex":[0.9988198,0.00003725377,0.0001352,0.0003139787,0.0003786302,0.0003151553],"domain_scores_gemma":[0.9994954,0.00006406071,0.00001484869,0.0001859163,0.000038925,0.0002008089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000281157,0.000007454706,0.9852644,0.000002725157,0.000003000856,0.00002874977,0.0002070019,0.0000236486,0.00002684479,0.000007406612,0.001990069,0.01241061],"study_design_scores_gemma":[0.0001271494,0.00008760838,0.9226743,0.000005524886,0.000003966782,0.00003223307,0.0000215185,0.00121544,0.0001263128,0.0002568053,0.07527993,0.0001691979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871806,0.0002416882,0.001056357,0.0007603107,0.0006729898,0.0001360797,0.0004852467,0.00004806157,0.009418667],"genre_scores_gemma":[0.9966231,0.00001697152,0.0004357288,0.002161637,0.0002576142,0.000001381295,0.0001113472,0.000002409495,0.000389818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07328986,"threshold_uncertainty_score":0.999351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009030695051246642,"score_gpt":0.1856135996211007,"score_spread":0.176582904569854,"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."}}