{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002790861,0.0002390916,0.000153697,0.0004196751,0.0004447535,0.0005569307,0.0004159812,0.0003985904,0.003871601],"category_scores_gemma":[0.0004588309,0.0001175661,0.0003081359,0.0006078291,0.000370071,0.001267094,0.0006914671,0.0002104301,0.0004886735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189062,"about_ca_system_score_gemma":0.0007703934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997351,"about_ca_topic_score_gemma":0.02277518,"domain_scores_codex":[0.999867,0.00001804532,0.000006107958,0.00005728499,0.00002101463,0.00003066876],"domain_scores_gemma":[0.9998217,0.00005013137,0.00002776732,0.00002076379,0.00005916734,0.00002046774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001810972,0.000236722,0.1445086,0.0007982589,0.0004024274,0.001370646,0.0005636833,0.01071416,0.637623,0.01963257,0.001857294,0.1804817],"study_design_scores_gemma":[0.0004124748,0.001713879,0.3401583,0.0002641316,0.0006819711,0.002134102,0.00431662,0.09103194,0.4899491,0.03584211,0.03336887,0.0001265758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747124,0.0007711241,0.003508881,0.0002957921,0.00003324842,0.0000135379,0.0001661448,0.00002691278,0.02047201],"genre_scores_gemma":[0.9950394,0.0004479633,0.0007045576,0.00002748234,0.000004895653,0.000005820849,0.00005952012,0.000007587613,0.003702736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997351,"threshold_uncertainty_score":0.03971452,"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."}}