{"id":"W3200413515","doi":"10.3389/fevo.2021.723026","title":"‘Taking Fishers’ Knowledge to the Lab’: An Interdisciplinary Approach to Understand Fish Trophic Relationships in the Brazilian Amazon","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universidade Federal do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Social Sciences and Humanities Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Trophic level; Isotope analysis; Amazon rainforest; Ecology; Food web; Biology; Fishery; Mesopredator release hypothesis; Ecosystem; Apex predator","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001255668,0.0001110388,0.000171871,0.000131607,0.0004704261,0.00003115078,0.0003206048,0.000161824,0.00006767732],"category_scores_gemma":[0.000225331,0.00008566397,0.00003166149,0.0008474257,0.0001958151,0.0002142336,0.0003717531,0.0003885311,0.00003932332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006580442,"about_ca_system_score_gemma":0.00002665933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005332624,"about_ca_topic_score_gemma":0.05346072,"domain_scores_codex":[0.9980006,0.0009531745,0.0002321716,0.0004043974,0.00009343672,0.0003161827],"domain_scores_gemma":[0.9994558,0.0001161145,0.00005551688,0.0003150358,0.000009574279,0.00004792817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003346535,0.0001780248,0.9487595,0.000003529391,0.00001063784,0.000008266695,0.01657952,0.01066282,0.0000179998,0.0004365589,0.02207825,0.001231432],"study_design_scores_gemma":[0.0002140673,0.00009308734,0.958905,0.000005370098,0.00001761626,0.00001740203,0.02357884,0.01101796,0.000002231548,0.005216117,0.0008256855,0.0001066438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736292,0.00007248968,0.006879186,0.006411081,0.0004573678,0.0003455009,0.00000247873,0.00001061465,0.01219212],"genre_scores_gemma":[0.995962,0.000008989364,0.00260043,0.0009127497,0.00004551725,0.00006150045,0.00001493915,0.000007559097,0.0003863148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0534074,"threshold_uncertainty_score":0.9638112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047722715000373,"score_gpt":0.2592520016046989,"score_spread":0.2387747744546951,"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."}}