{"id":"W3201439189","doi":"10.1038/s43016-021-00363-0","title":"Harnessing the diversity of small-scale actors is key to the future of aquatic food systems","year":2021,"lang":"en","type":"article","venue":"Nature Food","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Manitoba","funders":"Ocean Nexus Center, EarthLab, University of Washington; EarthLab, University of Washington; Agencia Nacional de Investigación y Desarrollo; Consortium of International Agricultural Research Centers; Inter-American Institute for Global Change Research; European Commission; Familjen Erling-Perssons Stiftelse; MAVA Foundation; Walton Family Foundation; University of Washington; National Science Foundation","keywords":"Livelihood; Sustenance; Corporate governance; Dynamism; Food systems; Business; Environmental resource management; Diversity (politics); Environmental planning; Sustainability; Food security; Scale (ratio); Natural resource economics; Ecology; Geography; Political science; Economics; Biology; Agriculture","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":[0.007382957,0.0005009818,0.000503106,0.002088191,0.003915444,0.009543155,0.001007756,0.00162724,0.003263613],"category_scores_gemma":[0.01137609,0.0003274937,0.000569015,0.003000616,0.01328299,0.01434972,0.005947451,0.002286609,0.000440399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003654894,"about_ca_system_score_gemma":0.005757907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00560634,"about_ca_topic_score_gemma":0.009097348,"domain_scores_codex":[0.9952564,0.003142375,0.0001828818,0.0004625896,0.0005624619,0.0003933462],"domain_scores_gemma":[0.9913955,0.005177902,0.001021125,0.001198008,0.0005825481,0.0006249328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002633635,0.00004496854,0.0181185,0.0003072978,0.00004852669,0.0003244212,0.02043905,0.007448331,0.001106289,0.8264201,0.002417058,0.1232991],"study_design_scores_gemma":[0.000006938633,0.00004635716,0.00575901,0.0005520119,0.00002127476,0.0001763458,0.02539826,0.005824964,0.0002789883,0.8774624,0.08443357,0.00003987432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3357365,0.008325798,0.343211,0.08422313,0.0005305158,0.0007042423,0.0003677826,0.0002607178,0.2266404],"genre_scores_gemma":[0.9424067,0.003222052,0.04972107,0.0009660712,0.00009299893,0.000191739,0.000108337,0.00003092466,0.003259971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009543155,"threshold_uncertainty_score":0.03904527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444211757702398,"score_gpt":0.2059678349108884,"score_spread":0.1915257173338644,"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."}}