{"id":"W4391810248","doi":"10.1007/s11625-024-01470-0","title":"A methodological framework for capturing marine small-scale fisheries' contributions to the sustainable development goals","year":2024,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Agence Nationale de la Recherche; National Research Foundation; European Commission; H2020 Marie Skłodowska-Curie Actions; Belmont Forum","keywords":"Sustainable development; Food security; Context (archaeology); Poverty; Environmental resource management; Scale (ratio); Sustainability; Identification (biology); Millennium Development Goals; Environmental planning; Business; Ecology; Economics; Environmental science; Geography; Biology; Economic growth","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":[0.07407712,0.001269192,0.0009742838,0.007511668,0.002542729,0.00769426,0.003242875,0.00186313,0.003316949],"category_scores_gemma":[0.1095873,0.0005194175,0.001417663,0.007031201,0.007970825,0.005934362,0.004134691,0.003730125,0.0003367916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005035755,"about_ca_system_score_gemma":0.01158218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00792979,"about_ca_topic_score_gemma":0.01514389,"domain_scores_codex":[0.9725919,0.01969788,0.002262073,0.0020328,0.002968007,0.0004473614],"domain_scores_gemma":[0.9269778,0.05243219,0.006421574,0.00609142,0.007085403,0.0009916109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000132838,0.00004476873,0.004096895,0.0001527474,0.0001077206,0.00003554461,0.001149061,0.005048036,0.0003981231,0.9628078,0.001412653,0.02473339],"study_design_scores_gemma":[0.0000189892,0.00004476705,0.003655253,0.0003041017,0.00009404097,0.00005647316,0.001550136,0.02104109,0.0007015951,0.9574089,0.01508933,0.00003536961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01152276,0.0010397,0.9642456,0.008216289,0.0002670143,0.0004302249,0.000442469,0.00007817266,0.01375782],"genre_scores_gemma":[0.2619136,0.0007709008,0.7319862,0.0006291831,0.0002017523,0.002146697,0.0002041122,0.00004902305,0.002098696],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07407712,"threshold_uncertainty_score":0.391762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964962816234231,"score_gpt":0.3299261124994334,"score_spread":0.2902764843370911,"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."}}