{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003873075,0.0002508723,0.0002330805,0.0008385705,0.001368092,0.0009519169,0.0003325209,0.0002935519,0.001791569],"category_scores_gemma":[0.0006680707,0.0003118205,0.0001757323,0.001165724,0.0005382634,0.0003812814,0.001118018,0.0002535061,0.0001604407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579795,"about_ca_system_score_gemma":0.001892597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1863957,"about_ca_topic_score_gemma":0.4636235,"domain_scores_codex":[0.9997858,0.00003576106,0.00001043605,0.00004888703,0.00002638367,0.00009271203],"domain_scores_gemma":[0.9997061,0.00003584667,0.0001331995,0.00002340788,0.0000567157,0.00004468233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002560811,0.00005051479,0.9695212,0.0001708853,0.0000487755,0.0005197469,0.01049223,0.0002346397,0.002506683,0.0006566467,0.0005206709,0.01502197],"study_design_scores_gemma":[0.000003331186,0.0000431478,0.9914068,0.00004955835,0.00001833309,0.0001150468,0.00653337,0.00007040001,0.0001127109,0.00004518027,0.001598203,0.000003863241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977465,0.0002901259,0.00009873719,0.00006030137,0.00000301245,0.00002353874,0.000380608,0.000004216309,0.001392871],"genre_scores_gemma":[0.9964069,0.0005256815,0.0004657421,0.00002809004,0.000002923939,0.00005836606,0.0004950087,0.000002064713,0.00201525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1863957,"threshold_uncertainty_score":0.3706215,"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."}}