{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002364088,0.0003249342,0.0002321464,0.001451391,0.0004543114,0.0006785163,0.0003378578,0.0003759323,0.0004080651],"category_scores_gemma":[0.0003677338,0.0002148709,0.0001573525,0.001346096,0.0003644784,0.0001939578,0.0004352305,0.0002527772,0.0001084299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006859328,"about_ca_system_score_gemma":0.0004997939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05582642,"about_ca_topic_score_gemma":0.1686296,"domain_scores_codex":[0.9997893,0.00002336983,0.000008716212,0.00006901851,0.00008185973,0.00002770479],"domain_scores_gemma":[0.9998852,0.00001428945,0.00003848497,0.000008059838,0.00004505661,0.000008864224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002060772,0.0001208257,0.6700827,0.0004494337,0.0001430158,0.00050181,0.003117578,0.001212388,0.2187668,0.0007375265,0.0006908922,0.103971],"study_design_scores_gemma":[0.000004373733,0.0001404454,0.9740236,0.00005399555,0.00006243119,0.0002428576,0.0009172225,0.001090031,0.01617798,0.0001346469,0.007142008,0.00001055233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921517,0.0009806243,0.001465889,0.00005074915,0.000009334914,0.00005447788,0.0005735524,0.00006421372,0.004649447],"genre_scores_gemma":[0.9955785,0.0005821712,0.00206768,0.00002908371,0.000005122098,0.00002931758,0.0002791748,0.00001033276,0.001418687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05582642,"threshold_uncertainty_score":0.111003,"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."}}