{"id":"W7020103059","doi":"","title":"Injúrias e morte de peixes em hidrelétricas estudo das usinas de Peixe Angical, Luís Eduardo Magalhães e Estreito","year":2019,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis; Karlstads universitet","keywords":"Fish <Actinopterygii>; Piscivore; Population structure; Taphonomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000704781,0.0002612615,0.000311761,0.0007106633,0.001009642,0.001161529,0.0003177513,0.0005559424,0.003043047],"category_scores_gemma":[0.002365579,0.0002413492,0.0002542628,0.0006411111,0.001401073,0.0005923448,0.001138112,0.0005906581,0.0002939555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021653,"about_ca_system_score_gemma":0.0009327515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340483,"about_ca_topic_score_gemma":0.02858911,"domain_scores_codex":[0.9994361,0.0001165154,0.00002038572,0.0001159516,0.0002227978,0.00008831454],"domain_scores_gemma":[0.9988325,0.0002467058,0.0003862072,0.00005376265,0.0003552717,0.0001254672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00087101,0.0003901095,0.6940722,0.001041316,0.0001772933,0.003818994,0.07572841,0.0005226298,0.1242485,0.002198791,0.002135483,0.0947952],"study_design_scores_gemma":[0.00000556126,0.0009957207,0.9502037,0.000144675,0.00006646015,0.0007939637,0.0225806,0.0001429044,0.009413458,0.000306941,0.01531182,0.00003416569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955207,0.0005870822,0.0004068738,0.0001392778,0.000009960765,0.00002750434,0.00008569288,0.00000817785,0.00321468],"genre_scores_gemma":[0.9907156,0.001066753,0.0009504281,0.0001181307,0.00001310128,0.00005959661,0.00009769038,0.000005576094,0.00697301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01340483,"threshold_uncertainty_score":0.02665365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292478260125042,"score_gpt":0.2727225424853349,"score_spread":0.2497977598840845,"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."}}