{"id":"W4324316203","doi":"10.18280/ijsdp.180208","title":"Hydrogeological Characterization of a Coastal Area for the Groundwater Exploitation. Hondo River Micro-Watershed, Santa Elena-Ecuador","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Geological and Tectonic Studies in Latin America","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CYTED Ciencia y Tecnología para el Desarrollo; Escuela Superior Politécnica del Litoral","keywords":"Watershed; Hydrogeology; Groundwater; Hydrology (agriculture); Geology; Environmental science; Water resource management; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001196154,0.0001711663,0.0001299768,0.001006246,0.0004301838,0.0006942178,0.0002193042,0.0001938452,0.0005728121],"category_scores_gemma":[0.0003054954,0.00008579808,0.0001228043,0.001035689,0.0002318097,0.0002229472,0.0003974121,0.00007259566,0.00007850928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529892,"about_ca_system_score_gemma":0.0002033382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163148,"about_ca_topic_score_gemma":0.04171621,"domain_scores_codex":[0.9999367,0.000007592862,0.000007530628,0.00001946383,0.00001496287,0.00001373912],"domain_scores_gemma":[0.9999114,0.00001400085,0.00002634803,0.000005875515,0.00003050633,0.00001179581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00010722,0.00008791141,0.9430854,0.00007019933,0.00004504959,0.002190195,0.003133348,0.001039096,0.02194851,0.0001566924,0.0002086719,0.02792766],"study_design_scores_gemma":[0.000001839586,0.00002100708,0.995002,0.000007409497,0.00001176064,0.0001699287,0.002774723,0.0007009991,0.0005630173,0.00002204515,0.000721693,0.000003635329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988914,0.00006785393,0.0001343967,0.000009975417,8.979931e-7,0.000006461106,0.0001117939,0.000003513992,0.0007737697],"genre_scores_gemma":[0.9990634,0.00005604183,0.0002838541,0.000004646693,0.000001224478,0.00001090777,0.0001750159,0.000001210271,0.0004037543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02163148,"threshold_uncertainty_score":0.04301113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465602253387419,"score_gpt":0.236816473103338,"score_spread":0.2121604505694638,"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."}}