{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06417213,0.000750167,0.0006295159,0.002416708,0.008408722,0.00336721,0.001681566,0.001536993,0.004283776],"category_scores_gemma":[0.04863496,0.0005369802,0.0006692389,0.00166844,0.009377872,0.005018359,0.01234337,0.001552399,0.0002510718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004267099,"about_ca_system_score_gemma":0.0118865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006352099,"about_ca_topic_score_gemma":0.01592918,"domain_scores_codex":[0.9153485,0.07741483,0.001271979,0.001938466,0.001683717,0.002342513],"domain_scores_gemma":[0.9322315,0.05699759,0.003191307,0.003044482,0.00249247,0.002042636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002133634,0.000647235,0.02171057,0.002086224,0.00008845999,0.001134567,0.8090497,0.0005255717,0.004062547,0.01406612,0.002293782,0.1441219],"study_design_scores_gemma":[0.0002603882,0.0009555967,0.02165321,0.004249827,0.0001168518,0.0006477296,0.857164,0.001099796,0.002156792,0.03396188,0.07764415,0.00008989067],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415224,0.005471108,0.06000492,0.02515166,0.000309173,0.007533364,0.0002221967,0.00007389444,0.0597114],"genre_scores_gemma":[0.959982,0.001523942,0.03120011,0.001240136,0.00004521139,0.004335964,0.00003408594,0.00001327864,0.001625289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06417213,"threshold_uncertainty_score":0.3393787,"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."}}