{"id":"W2808057305","doi":"10.36829/63cts.v4i2.511","title":"Áreas vulnerables ante fenómenos naturales, microcuenca rio Peshjá, La Unión, Zacapa","year":2017,"lang":"es","type":"article","venue":"Ciencia Tecnologí­a y Salud","topic":"Environmental and Ecological Studies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Humanities; Geography; 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","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.000613278,0.0008327485,0.0009561637,0.0001423805,0.003816534,0.0006437615,0.002239613,0.0008963029,0.001147519],"category_scores_gemma":[0.0009282655,0.0006599233,0.0003592561,0.0001990273,0.003149504,0.0005865904,0.001887203,0.001117835,0.002085768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032602,"about_ca_system_score_gemma":0.00007771011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364524,"about_ca_topic_score_gemma":0.0008842373,"domain_scores_codex":[0.9956889,0.0002771673,0.0006928071,0.001306395,0.0005217817,0.001512937],"domain_scores_gemma":[0.9971634,0.0003575725,0.0006385285,0.001453347,0.00007056649,0.0003166257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003223412,0.001948549,0.5987306,0.0003415969,0.0008334981,0.001304708,0.001136056,0.0001598955,0.163512,0.03988897,0.03888562,0.1529362],"study_design_scores_gemma":[0.0009927603,0.0003877081,0.66165,0.0001760443,0.0001477258,0.00008348038,0.0005521261,0.00008902979,0.01073894,0.003215131,0.3210212,0.0009458609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8665256,0.008149928,0.00001273772,0.002940525,0.0009318377,0.0003797711,0.0001069072,0.0002640835,0.1206886],"genre_scores_gemma":[0.9737887,0.007776263,0.0005140569,0.0007547199,0.0005098549,0.00006669151,0.00003332724,0.00006411291,0.01649225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2821355,"threshold_uncertainty_score":0.9997656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706615788543753,"score_gpt":0.2562265932060929,"score_spread":0.2391604353206554,"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."}}