{"id":"W3191884201","doi":"10.1111/faf.12602","title":"Small‐scale fisheries and local food systems: Transformations, threats and opportunities","year":2021,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Membrane Reactor Technologies (Canada); University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Food security; Food systems; Business; Corporate governance; Fisheries law; Poverty; Fisheries management; Scale (ratio); Fishery; Fisheries science; Sustainability; Environmental resource management; Economics; Economic growth; Geography; Ecology; Fishing; Agriculture; 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":[0.001072957,0.0001822677,0.000182475,0.0008977665,0.002009641,0.003949072,0.0004605497,0.0004964912,0.009275039],"category_scores_gemma":[0.001442606,0.00008763502,0.0001714052,0.001077336,0.00810244,0.002875117,0.005130552,0.0007824185,0.0002343457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990961,"about_ca_system_score_gemma":0.002007298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146922,"about_ca_topic_score_gemma":0.04348727,"domain_scores_codex":[0.9995382,0.0002034456,0.00001527218,0.00006126308,0.00005896413,0.0001229412],"domain_scores_gemma":[0.9990824,0.0002689749,0.0002101997,0.00009902283,0.0001199647,0.0002193482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008983016,0.0001810983,0.2572667,0.0009872178,0.0001228777,0.002235352,0.08771206,0.003172781,0.003243356,0.4527943,0.01189598,0.1802984],"study_design_scores_gemma":[0.00001156076,0.0001981303,0.4070067,0.001383895,0.00005237974,0.000759906,0.2535994,0.001565211,0.0007548842,0.1593201,0.1752679,0.00007984382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7654923,0.005676713,0.002831529,0.01942094,0.00007914064,0.00004528311,0.0001615758,0.00003343498,0.2062591],"genre_scores_gemma":[0.9958801,0.001151395,0.0003323049,0.0002691524,0.00001510588,0.00001026417,0.00001596445,0.000003718016,0.002321958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146922,"threshold_uncertainty_score":0.03102815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702348064427917,"score_gpt":0.188213804698224,"score_spread":0.1511903240539449,"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."}}