{"id":"W2098449475","doi":"10.3354/esr00363","title":"Use of radiotelemetry to track threatened dorados Salminus brasiliensis in the upper Uruguay River, Brazil","year":2011,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; World Wildlife Fund Canada; ASL Environmental Sciences (Canada)","funders":"Universidade Estadual de Maringá; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Threatened species; Overfishing; Endangered species; Geography; Fishery; Habitat destruction; Fishing; Ecology; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001281885,0.0001485316,0.0002342674,0.00025407,0.0002648233,0.00002760641,0.0007073276,0.00008241669,0.005434484],"category_scores_gemma":[0.0004356648,0.0001073255,0.00007001041,0.001150374,0.001060227,0.0002603963,0.0006666306,0.0003376695,0.0006066162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723241,"about_ca_system_score_gemma":0.0000102738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622968,"about_ca_topic_score_gemma":0.00702231,"domain_scores_codex":[0.9976026,0.00041214,0.0002615937,0.0004117666,0.0007036867,0.0006082208],"domain_scores_gemma":[0.9987978,0.0004911899,0.00004398575,0.0005603845,0.00002943256,0.00007714393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001882129,0.000429714,0.734641,0.00001830183,0.00005736827,0.0001187501,0.01885935,0.00003038654,0.002348821,0.0009676389,0.2359177,0.006422774],"study_design_scores_gemma":[0.0002306036,0.0001954454,0.9622358,0.000008157251,0.000007103213,0.000003094411,0.00214094,0.00001179816,0.003657673,0.0003454283,0.03104695,0.0001169794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417973,0.00004425981,0.00002736993,0.001468093,0.00008668378,0.0006435272,0.00001740888,0.00001948762,0.05589594],"genre_scores_gemma":[0.9899644,0.0001968548,0.00163,0.0005513748,0.00003136215,0.00006871911,0.000003454264,0.00001443153,0.007539398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2275948,"threshold_uncertainty_score":0.9954747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306821095407771,"score_gpt":0.3240732434082917,"score_spread":0.1933911338675146,"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."}}