{"id":"W1849086477","doi":"","title":"PLANTA PILOTO DE PROCESOS SECUENCIALES EN LA REMEDIACION DE EFLUENTES INDUSTRIALES","year":2000,"lang":"es","type":"article","venue":"Revista del Instituto de Investigación de la Facultad de Ingeniería Geológica, Minera, Metalurgica y Geográfica","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Aeration; Environmental science; Context (archaeology); Waste management; Sewage treatment; Environmental engineering; Environmental remediation; Engineering; Contamination; Geography","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.008346155,0.001377506,0.001364651,0.0004599979,0.0009986938,0.001814593,0.002143124,0.001271575,0.002511347],"category_scores_gemma":[0.002220086,0.001323329,0.0006694532,0.001594163,0.003049287,0.0008967905,0.0006717744,0.00176453,0.0008915179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661022,"about_ca_system_score_gemma":0.0008275988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003903501,"about_ca_topic_score_gemma":0.0001144247,"domain_scores_codex":[0.9881284,0.004161573,0.001805334,0.001775044,0.001355655,0.00277401],"domain_scores_gemma":[0.9952161,0.001081934,0.0006251549,0.001148887,0.00008225872,0.001845628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002083138,0.003010431,0.6953153,0.002043466,0.001612274,0.004541887,0.02124264,0.05367598,0.1057394,0.03091486,0.01457212,0.0652485],"study_design_scores_gemma":[0.002883636,0.0002998289,0.08940794,0.0007973757,0.001055517,0.0009541309,0.0005779333,0.01177466,0.006660342,0.001515314,0.882176,0.001897261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706224,0.002355685,0.0009965273,0.002077202,0.00006749721,0.001500946,0.0002398142,0.0005109536,0.02162902],"genre_scores_gemma":[0.9779516,0.002214919,0.01248109,0.001865644,0.0007466201,0.0003459593,0.0001675327,0.0001314653,0.004095112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.867604,"threshold_uncertainty_score":0.9998975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607125476052146,"score_gpt":0.2677264853564303,"score_spread":0.2516552305959088,"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."}}