{"id":"W7055218536","doi":"","title":"Biomonitoramento da bacia hidrográfica do médio Rio Iguaçu em União da Vitória, PR, utilizando biomarcadores de contaminação ambiental","year":2016,"lang":"pt","type":"article","venue":"UFPR Digital Collection (Federal University of Paraná)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Egg Farmers of Canada","keywords":"Bioindicator; Xenobiotic; Water quality; Biota; Pollution; Water pollution; Sentinel species; Abiotic component; Sewage","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001322897,0.0004882397,0.0005314699,0.000415491,0.0007659814,0.0006019105,0.0004217905,0.0003514434,0.0004153723],"category_scores_gemma":[0.00003056931,0.0005147686,0.000369478,0.001006261,0.0003528465,0.000968663,0.000171141,0.0002098311,0.0002885023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026401,"about_ca_system_score_gemma":0.0002410352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007547669,"about_ca_topic_score_gemma":0.0004144392,"domain_scores_codex":[0.9977014,0.0001019619,0.0004353439,0.0006394971,0.0004265037,0.0006952839],"domain_scores_gemma":[0.9985372,0.0001619363,0.0002246812,0.0004544301,0.0001912852,0.0004303984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01026152,0.008456943,0.1384222,0.001672194,0.006774174,0.001219927,0.02152021,0.001306072,0.3063203,0.01107585,0.3756671,0.1173035],"study_design_scores_gemma":[0.06197406,0.006138407,0.1020998,0.003439761,0.001900811,0.000762161,0.04811487,0.03032872,0.101352,0.002557723,0.6320382,0.009293457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563437,0.0003056444,0.02712083,0.0003815864,0.0006003141,0.001132631,0.001152351,0.0004336683,0.01252934],"genre_scores_gemma":[0.9542011,0.0001207096,0.0001922702,0.00001817745,0.00008617071,0.000005401818,0.0000874641,0.00005428035,0.04523443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563711,"threshold_uncertainty_score":0.9997304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808544494400591,"score_gpt":0.2225214579358378,"score_spread":0.2044360129918319,"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."}}