{"id":"W4412163774","doi":"10.1111/faf.70008","title":"Quantifying the Nutritional and Socio‐Ecological Dimensions of Indian Ocean Fisheries","year":2025,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Marisla Foundation; Minderoo Foundation; National Science Foundation","keywords":"Fishery; Fisheries science; Marine fisheries; Ecology; Geography; Fisheries management; Environmental science; Fish <Actinopterygii>; Fishing; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520494,0.0003678623,0.0001674171,0.002277392,0.0006203115,0.001140936,0.0004307981,0.0001870859,0.001778039],"category_scores_gemma":[0.001698687,0.0001518309,0.0004566656,0.003420514,0.0005070029,0.0005417941,0.001576827,0.0003098291,0.0002423111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009665982,"about_ca_system_score_gemma":0.0007693769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0819011,"about_ca_topic_score_gemma":0.1180447,"domain_scores_codex":[0.9996969,0.00005125148,0.00004379864,0.00005640454,0.00007510668,0.00007662835],"domain_scores_gemma":[0.9988772,0.0001530459,0.0005377159,0.00009412243,0.0002257509,0.0001121097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001876078,0.00001054016,0.9936112,0.00003905755,0.00008796946,0.00004804303,0.0003230248,0.0003241945,0.0005278216,0.00009450166,0.0001672154,0.004747706],"study_design_scores_gemma":[2.89893e-7,0.000007638161,0.9982781,0.00001106971,0.00001517709,0.00002766448,0.0009869954,0.0002828482,0.00006583312,0.00005526374,0.0002644774,0.00000461075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961917,0.0001435507,0.0002380577,0.0000618688,0.00000377706,0.00001055548,0.001288924,0.000009689453,0.002051885],"genre_scores_gemma":[0.9982616,0.0001320649,0.0004767192,0.00002774047,0.000003553541,0.00001335895,0.0007449011,0.000003568994,0.0003364433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0819011,"threshold_uncertainty_score":0.1628488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273808817698876,"score_gpt":0.2297593620641209,"score_spread":0.2023784802942333,"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."}}