{"id":"W4411420449","doi":"10.14393/rcg2610575573","title":"COMPARAÇÃO DA QUALIDADE DA ÁGUA USANDO MÉTODOS MULTIVARIADOS E ESPACIAIS EM UMA REDE DE DISTRIBUIÇÃO DE ÁGUA","year":2025,"lang":"en","type":"article","venue":"Caminhos de Geografia","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Water quality; Environmental science; Geography; Cartography","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":[0.007607734,0.0002892472,0.0006543333,0.001050509,0.0003218085,0.0009215912,0.0006584941,0.000486989,0.0009938783],"category_scores_gemma":[0.01919742,0.0001750345,0.000705763,0.001083468,0.0005086096,0.000916574,0.0008124216,0.0004509176,0.00009452659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606146,"about_ca_system_score_gemma":0.001997819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309549,"about_ca_topic_score_gemma":0.02192722,"domain_scores_codex":[0.9929222,0.004369672,0.000422936,0.0006697077,0.001288148,0.0003272837],"domain_scores_gemma":[0.9890553,0.006071144,0.002761048,0.0004077303,0.001252995,0.0004518365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006553434,0.002050056,0.5211557,0.002474433,0.001964405,0.00008205382,0.004688382,0.002871442,0.005554788,0.0009685039,0.0007143159,0.4509225],"study_design_scores_gemma":[0.0004010515,0.01845808,0.9453171,0.001016087,0.002175316,0.0001270008,0.003940055,0.005489367,0.009523134,0.001093848,0.01238508,0.00007401855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900616,0.00447952,0.001827554,0.0006257757,0.00004641511,0.0001423235,0.0002542202,0.00007168783,0.002491003],"genre_scores_gemma":[0.9951944,0.0009275553,0.003173983,0.00009298079,0.00002194712,0.0001019558,0.0000699265,0.000009386169,0.0004078669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309549,"threshold_uncertainty_score":0.04023397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305676080804534,"score_gpt":0.3196064468554426,"score_spread":0.2965496860473972,"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."}}