{"id":"W2122823306","doi":"10.5751/es-05369-180206","title":"Using Traditional Ecological Knowledge to Improve Holistic Fisheries Management: Transdisciplinary Modeling of a Lagoon Ecosystem of Southern Mexico","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst","keywords":"Ecosystem; Ecosystem-based management; Ecosystem approach; Fishery; Environmental resource management; Coastal ecosystem; Fisheries management; Geography; Ecology; Holistic management; Ecosystem management; Fishing; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008607734,0.00009976095,0.0001927769,0.0000051639,0.0002083564,0.000004049665,0.00008632873,0.00007594583,0.002401361],"category_scores_gemma":[0.000002506761,0.00007422265,0.00008926306,0.00007010702,0.0003193156,0.00006362622,0.0001687388,0.00006495597,0.00004042319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004925994,"about_ca_system_score_gemma":0.000001735874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001945053,"about_ca_topic_score_gemma":0.00002482208,"domain_scores_codex":[0.9993382,0.00003035062,0.0002015968,0.0001961407,0.00007494925,0.0001587559],"domain_scores_gemma":[0.9997928,0.00003656539,0.00005556661,0.00006049287,0.000004401238,0.00005013749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002445505,0.007032678,0.4543996,0.001998174,0.001847422,0.00002594355,0.2359614,0.09954783,0.1526814,0.006133892,0.01401379,0.02611329],"study_design_scores_gemma":[0.001668437,0.001257686,0.7155068,0.00006772221,0.0002571044,0.00002024141,0.08946922,0.1729901,0.0006280644,0.01686235,0.0004755758,0.000796688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909336,0.00003641121,0.0003022302,0.0001265311,0.0000670133,0.0002228636,0.00004173807,0.000007370616,0.00826225],"genre_scores_gemma":[0.9962312,0.00003101737,0.003374399,0.0000900305,0.00001656803,0.00003487195,0.000004267097,0.000004322429,0.0002133382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2611071,"threshold_uncertainty_score":0.9985106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231641386703334,"score_gpt":0.2411851126648601,"score_spread":0.2088686987978267,"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."}}