{"id":"W7119425146","doi":"","title":"Quality Assessment of the São River watershed Pedro, sub-basin of the Guandu River-RJ.","year":2024,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Watershed; Data collection; Work (physics); Sample (material); Water quality; Data 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":[0.0006249808,0.0002717279,0.0004336328,0.001252206,0.0009086356,0.001280014,0.0003875293,0.0004425369,0.00110688],"category_scores_gemma":[0.000762183,0.0001888466,0.0004509675,0.002714068,0.0004735854,0.0002715248,0.0006082829,0.0002283625,0.00019273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613892,"about_ca_system_score_gemma":0.001897329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2321425,"about_ca_topic_score_gemma":0.44976,"domain_scores_codex":[0.9994668,0.00007712599,0.00003859525,0.0001118489,0.0002618277,0.00004367059],"domain_scores_gemma":[0.9995616,0.00005299106,0.00007084694,0.00002578082,0.0002521217,0.0000366053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002983022,0.000100525,0.9076881,0.0005713113,0.0002477495,0.001254898,0.003676404,0.00552055,0.02113878,0.001213286,0.002763657,0.05552656],"study_design_scores_gemma":[0.000006491609,0.0000525393,0.9883305,0.00003594122,0.0000401528,0.0001087997,0.001814977,0.002560691,0.0007982334,0.000136503,0.006104605,0.00001058389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850903,0.0008763223,0.002145727,0.0002997307,0.00003439553,0.0001099811,0.003166253,0.00008272538,0.00819452],"genre_scores_gemma":[0.9920516,0.000385091,0.002447439,0.00004571423,0.000007519516,0.00005476998,0.001979795,0.00001818959,0.003009788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2321425,"threshold_uncertainty_score":0.4615825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217844273519621,"score_gpt":0.2889090151115254,"score_spread":0.2567305723763292,"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."}}