{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001085988,0.0003837003,0.0004187505,0.0001064013,0.0004644175,0.0003252656,0.000709734,0.0002671673,0.001656259],"category_scores_gemma":[0.0001535638,0.0003831928,0.0002103661,0.0005670579,0.0004555005,0.0002324747,0.0004221346,0.0004335817,0.0005073216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183829,"about_ca_system_score_gemma":0.0001472803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004582363,"about_ca_topic_score_gemma":0.0004618207,"domain_scores_codex":[0.996685,0.0005933342,0.0005585391,0.0006277613,0.000441906,0.001093494],"domain_scores_gemma":[0.9984881,0.0002034165,0.0001849195,0.0006980198,0.00001827955,0.0004072156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004257512,0.001452083,0.7859366,0.0002543544,0.0004053152,0.0002331439,0.02442543,0.005935702,0.0593779,0.01098635,0.05767798,0.05288938],"study_design_scores_gemma":[0.002408508,0.0001104939,0.8328488,0.0001430663,0.0001559121,0.00005320875,0.002998263,0.01102224,0.01305925,0.002444919,0.1339053,0.0008499983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475462,0.0001270186,0.04516231,0.001592141,0.0002939694,0.0005058517,0.0002138476,0.000198617,0.004360024],"genre_scores_gemma":[0.9883883,0.0000287993,0.005162413,0.002052065,0.00007105235,0.0001095992,0.0001146332,0.00002559132,0.004047533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07622735,"threshold_uncertainty_score":0.999862,"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."}}