{"id":"W7028175747","doi":"","title":"Estudo comparativo da utilização do IQA-NSF e IQA-CCME para análise da qualidade da água no Estado do Rio De Janeiro","year":2021,"lang":"pt","type":"article","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Sanitation; Work (physics); Sustainability","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":[0.008988503,0.000616353,0.000855209,0.005306056,0.0007801902,0.002752652,0.001412395,0.0005454672,0.001252405],"category_scores_gemma":[0.02808849,0.0003574897,0.001293173,0.008352247,0.0009105934,0.001385238,0.001682078,0.0006588164,0.0003130172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002570027,"about_ca_system_score_gemma":0.004215744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1301577,"about_ca_topic_score_gemma":0.2154371,"domain_scores_codex":[0.9926522,0.002554218,0.0007863859,0.0008934401,0.002720489,0.0003932325],"domain_scores_gemma":[0.9837947,0.005155912,0.002161289,0.001194232,0.007327853,0.0003659991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001065501,0.00008584504,0.8954602,0.0007283841,0.0005393388,0.00009755416,0.00544435,0.002241774,0.001014224,0.002967464,0.001795579,0.08951867],"study_design_scores_gemma":[0.00001035805,0.0001922159,0.9615147,0.0003854029,0.0003571983,0.0001237407,0.00882834,0.006665211,0.001637282,0.0008636453,0.01934334,0.00007860664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299136,0.002930871,0.01661803,0.0008774307,0.0001836912,0.0006810289,0.007111104,0.0002561366,0.04142817],"genre_scores_gemma":[0.9687026,0.001146855,0.02342111,0.00009807757,0.00003801065,0.0005497035,0.002282937,0.00004690776,0.003713816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301577,"threshold_uncertainty_score":0.2588002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007489480926277,"score_gpt":0.3562234790525375,"score_spread":0.2554745309599099,"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."}}