{"id":"W7036189914","doi":"","title":"Avaliação integrada da qualidade ambiental de riachos de 1º e 2º ordem da região de Maringá-PR","year":2021,"lang":"en","type":"dissertation","venue":"Institutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; STREAMS; Water quality; Pollution; Contamination; Urbanization; Water pollution; Environmental quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000673609,0.0002370162,0.000267031,0.001320469,0.0003346536,0.001066061,0.0003540694,0.0002640062,0.0005900256],"category_scores_gemma":[0.001481162,0.0002161925,0.0004324368,0.001849914,0.0003744749,0.0003084689,0.0006214008,0.0001968857,0.0002753382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622208,"about_ca_system_score_gemma":0.0005040545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05414898,"about_ca_topic_score_gemma":0.08239262,"domain_scores_codex":[0.9993636,0.0001288308,0.00004206584,0.000182563,0.0002255094,0.00005749373],"domain_scores_gemma":[0.999432,0.0001041805,0.0001552039,0.00007018013,0.000207076,0.00003130674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001178864,0.00003152216,0.9512165,0.0001191672,0.0001493283,0.0002264791,0.001663088,0.001200257,0.006847683,0.0005056677,0.000300321,0.03762217],"study_design_scores_gemma":[0.000002582151,0.00004086137,0.9944406,0.00001262913,0.00003464081,0.00008346855,0.0009061943,0.001453122,0.0008339734,0.0000835957,0.002099492,0.000008880941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934446,0.0001931382,0.0009227272,0.0000448774,0.000004514605,0.0000255554,0.0006222163,0.00008558522,0.004656922],"genre_scores_gemma":[0.9973609,0.0001375688,0.001388213,0.000008604729,0.000005080956,0.00001933509,0.0003202194,0.000009117358,0.0007508802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05414898,"threshold_uncertainty_score":0.1076676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897881874140675,"score_gpt":0.2252299239270626,"score_spread":0.2062511051856558,"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."}}