{"id":"W3216202217","doi":"10.36829/63cts.v3i2.%","title":"Evaluación del estado trófico de la Laguna de Ayarza utilizando el modelo de simulacion WASP","year":2017,"lang":"es","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Humanities; Physics; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008942173,0.0006798843,0.001016025,0.0004179693,0.001583033,0.006286377,0.00715989,0.0003698431,0.01131605],"category_scores_gemma":[0.0007976813,0.000641896,0.000447788,0.0003595015,0.001018089,0.003215786,0.004297121,0.0008281057,0.0001516768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007356521,"about_ca_system_score_gemma":0.0001668012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006923461,"about_ca_topic_score_gemma":0.00009509079,"domain_scores_codex":[0.993431,0.001832975,0.001112613,0.0009215096,0.001411995,0.001289862],"domain_scores_gemma":[0.9954865,0.0004861611,0.001552139,0.001627012,0.0000772672,0.0007709152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004854615,0.0006761185,0.8951772,0.0002218993,0.000228986,0.0001563799,0.001136623,0.01968716,0.03823507,0.0003276501,0.008368973,0.03529845],"study_design_scores_gemma":[0.001632062,0.00002404261,0.9064853,0.0005667253,0.0003458378,0.00002047804,0.0002096075,0.0393646,0.01652149,0.01750515,0.01649544,0.0008292805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617533,0.003267453,0.002323268,0.0005077187,0.0002457383,0.0007803423,0.00006760615,0.00005524058,0.03099933],"genre_scores_gemma":[0.9887461,0.008566108,0.0005447958,0.0004149215,0.000231239,0.00003975556,0.00000954957,0.0001016517,0.001345899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03446917,"threshold_uncertainty_score":0.9997168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2342711177873624,"score_gpt":0.5638672287509522,"score_spread":0.3295961109635898,"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."}}