{"id":"W3029918422","doi":"10.3390/su12114487","title":"Participatory Research with Fishers to Improve Knowledge on Small-Scale Fisheries in Tropical Rivers","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Social Sciences and Humanities Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Academy of Sciences; United States Agency for International Development","keywords":"Livelihood; Fishery; Sustainability; Amazon rainforest; Georeference; Geography; Environmental resource management; Fisheries management; Environmental planning; Scale (ratio); Fisheries Research; Citizen journalism; Fish <Actinopterygii>; Ecology; Biology; Environmental science; Fishing; Political science; Cartography; Agriculture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761831,0.0001482416,0.0002153101,0.0000390753,0.0001447279,0.00002147484,0.0003159597,0.0001438339,0.0006849079],"category_scores_gemma":[0.0008212193,0.0001210755,0.00004158698,0.000516072,0.001194749,0.00009068193,0.0003274665,0.0004551252,0.0001891911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492944,"about_ca_system_score_gemma":0.000138598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005089755,"about_ca_topic_score_gemma":0.009623379,"domain_scores_codex":[0.9977626,0.00045904,0.0002032893,0.0006882047,0.0001785709,0.0007083429],"domain_scores_gemma":[0.9990824,0.0001745562,0.00002289304,0.0003261268,0.00006587019,0.0003281358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004795809,0.0003484621,0.987619,0.00003337735,0.000002574178,0.00003241147,0.002727644,0.0000524621,0.0005279717,0.00002529615,0.003053908,0.005097305],"study_design_scores_gemma":[0.0004261356,0.002521646,0.9823657,0.000002897023,0.000005098364,3.634926e-7,0.003296915,0.00004568156,0.0006829802,0.0003376418,0.01016131,0.0001536798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985229,0.000003502933,0.00001256487,0.01139054,0.00006025096,0.0008408175,0.000006005924,0.00004194154,0.002415363],"genre_scores_gemma":[0.9985936,7.133361e-7,0.0001757889,0.0005887205,0.00003844433,0.0002251877,0.00000148542,0.00001145345,0.0003645646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01336463,"threshold_uncertainty_score":0.7499261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0744341896029931,"score_gpt":0.3287994720575234,"score_spread":0.2543652824545303,"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."}}