{"id":"W4401573202","doi":"10.21704/rea.v23i1.2168","title":"EVALUACIÓN DE LA CALIDAD DEL AGUA DE LAS SUBCUENCAS ACHAMAYO Y SHULLCAS (JUNÍN-PERÚ) UTILIZANDO EL ÍNDICE DE CALIDAD CCME","year":2024,"lang":"es","type":"article","venue":"Ecología Aplicada","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.0006785561,0.0005028977,0.0003943011,0.00110428,0.0008826984,0.001086598,0.0004863541,0.0003675953,0.001440116],"category_scores_gemma":[0.0009837792,0.0002407,0.000451052,0.002293533,0.0007251505,0.0004424185,0.0007531615,0.0003540809,0.0002955483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002213183,"about_ca_system_score_gemma":0.001938618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1852445,"about_ca_topic_score_gemma":0.4292508,"domain_scores_codex":[0.9994481,0.0001001268,0.00002809788,0.0001314947,0.0002134261,0.00007874124],"domain_scores_gemma":[0.9988225,0.0001716729,0.0002326113,0.00006713845,0.0006488855,0.00005702918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002500266,0.0001054464,0.9149507,0.0004486196,0.0002032719,0.0002734282,0.00473997,0.0009262841,0.02829981,0.0002833348,0.0005110821,0.04900805],"study_design_scores_gemma":[0.000004792314,0.0002847968,0.9855278,0.00003645357,0.00009319741,0.00005829871,0.0036014,0.0006709754,0.004176685,0.00007464836,0.005458114,0.00001298444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904392,0.0004849702,0.001575332,0.00008253808,0.000006740137,0.000162924,0.001229328,0.00003952282,0.005979572],"genre_scores_gemma":[0.9869262,0.0007024693,0.004146781,0.0000518073,0.000005669707,0.0003024146,0.001387018,0.00001577473,0.006461894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852445,"threshold_uncertainty_score":0.3683324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434868430873693,"score_gpt":0.323553843750097,"score_spread":0.3092051594413601,"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."}}