{"id":"W4280595848","doi":"10.5194/bg-19-2537-2022","title":"Global nutrient cycling by commercially targeted marine fish","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Research Council; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; California Ocean Protection Council; Agence Nationale de la Recherche; European Commission","keywords":"Nutrient; Biomass (ecology); Fishing; Ocean gyre; Environmental science; Nutrient cycle; Cycling; Fishery; Biogeochemical cycle; Fish stock; Oceanography; Ecology; Biology; Geography; Subtropics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002757669,0.0001124153,0.0001261627,0.000009115481,0.001035088,0.00009072338,0.0005163101,0.00003644217,0.001955379],"category_scores_gemma":[0.00003017134,0.00004782508,0.00008596697,0.001069452,0.0001265775,0.0001098259,0.0003087271,0.00008523452,0.00001480057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005518259,"about_ca_system_score_gemma":0.00001169742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695714,"about_ca_topic_score_gemma":0.0008551683,"domain_scores_codex":[0.9985979,0.00009740316,0.0001830134,0.000337333,0.0004729946,0.0003113873],"domain_scores_gemma":[0.9996662,0.00004730075,0.00008522856,0.00004101425,0.00003486084,0.0001253611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001035329,0.001216963,0.3206204,0.000006500249,0.00001733328,0.00001911112,0.000144613,0.000004055546,0.1989875,0.004363632,0.3746163,0.09990007],"study_design_scores_gemma":[0.0002093745,0.0004128302,0.2177018,0.000002673919,0.000006069151,0.00001440354,0.001029629,0.00006399679,0.002243651,0.002005876,0.7760431,0.000266567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860324,0.0001577466,0.000007537995,0.008919037,0.000288632,0.0001660729,0.001139228,0.0001145387,0.003174763],"genre_scores_gemma":[0.9951184,0.00003803212,0.00009720115,0.003750317,0.0001357522,0.00003203706,0.0004662648,4.149179e-7,0.0003615521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4014268,"threshold_uncertainty_score":0.998957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451177169836025,"score_gpt":0.2225902590326844,"score_spread":0.2080784873343242,"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."}}