{"id":"W1966657753","doi":"10.1016/j.jenvman.2013.06.032","title":"Participatory research towards co-management: Lessons from artisanal fisheries in coastal Uruguay","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fishery; Citizen journalism; Marine research; Marine protected area; Environmental planning; Participatory action research; Fisheries management; Artisanal fishing; Environmental resource management; Business; Geography; Environmental protection; Political science; Environmental science; Fish <Actinopterygii>; Oceanography; Fishing; Ecology; Economic growth; Biology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001087996,0.0003047553,0.0003626397,0.0003024276,0.0001746692,0.0001471151,0.0007375468,0.00006359814,0.01892711],"category_scores_gemma":[0.000009955669,0.0002760933,0.0001671785,0.0003408475,0.0004920959,0.0007808966,0.003958879,0.0004461622,0.001840268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091091,"about_ca_system_score_gemma":0.000005841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199974,"about_ca_topic_score_gemma":0.0004376291,"domain_scores_codex":[0.9960603,0.0002507788,0.0008557872,0.0004843217,0.001581389,0.0007674275],"domain_scores_gemma":[0.9989252,0.00005619744,0.0002623409,0.0004610823,0.00000657694,0.0002885927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000223691,0.002405777,0.1315718,0.00007819485,0.0004471097,0.001382379,0.001176377,0.001335281,0.002487059,0.0009824751,0.08027445,0.7776354],"study_design_scores_gemma":[0.001501915,0.0002764921,0.8843418,0.00007046448,0.00007662128,0.000009505306,0.005113398,0.0001785517,0.0003622822,0.009896901,0.09781868,0.0003534242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274732,0.0001058178,0.000281523,0.002264575,0.0002599273,0.0008514436,0.00002671786,0.00001960483,0.1687172],"genre_scores_gemma":[0.9910215,0.0006175732,0.001698458,0.0003121856,0.00008311466,0.000103817,0.00001503232,0.00003345954,0.006114868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7772819,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570957975550917,"score_gpt":0.3028221456610861,"score_spread":0.2457263481059944,"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."}}