{"id":"W2891487954","doi":"","title":"The Paraty fishery in the context of co-management and Latin American fisheries","year":2014,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Fishery; Fisheries management; Context (archaeology); Latin Americans; Fisheries science; Geography; Fishing; Business; Political science; Biology","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":[0.000334309,0.00007185627,0.0001382563,0.00002450002,0.0001852182,0.00002203007,0.0004282702,0.00002133984,0.0006304433],"category_scores_gemma":[0.0000168496,0.00005360421,0.00003594705,0.0002041445,0.001182978,0.000129873,0.0003416603,0.00009748294,0.00001144537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002475248,"about_ca_system_score_gemma":0.0000039648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004296171,"about_ca_topic_score_gemma":0.005669183,"domain_scores_codex":[0.9991921,0.0001398772,0.00009193829,0.0001506262,0.0002602494,0.0001652684],"domain_scores_gemma":[0.9994198,0.0001755898,0.00008512231,0.0002769986,0.000008632675,0.00003387478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001273935,0.00004568764,0.6947007,0.00002708987,0.00001926586,0.000008702174,0.005267865,0.000003448761,0.00003294231,0.0004402382,0.01382549,0.2855012],"study_design_scores_gemma":[0.000280235,0.0001442746,0.6812159,0.000005026092,0.000006354876,6.498225e-7,0.02593618,0.0002575103,0.00001326854,0.0001075412,0.2919686,0.00006439138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7614844,0.00000483497,0.00007857012,0.001896273,0.00001308112,0.0001684658,0.000006375565,0.000005333679,0.2363426],"genre_scores_gemma":[0.9962068,0.00009846334,0.0001888571,0.0001558849,0.000004964473,6.570066e-7,0.000003573965,0.000003396664,0.003337434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2854368,"threshold_uncertainty_score":0.6902912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160999419205018,"score_gpt":0.2036487747383771,"score_spread":0.1920387805463269,"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."}}