{"id":"W4403636494","doi":"10.1186/s40517-024-00317-2","title":"Controls of low injectivity caused by interaction of reservoir and clogging processes in a sedimentary geothermal aquifer (Mezőberény, Hungary)","year":2024,"lang":"en","type":"article","venue":"Geothermal Energy","topic":"Geological Formations and Processes Exploration","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Staatssekretariat für Bildung, Forschung und Innovation; Ministero dell'Università e della Ricerca; Eidgenössische Technische Hochschule Zürich; Horizon 2020 Framework Programme; Energi Simulation; Eötvös Loránd Tudományegyetem; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; European Commission; Dipartimenti di Eccellenza","keywords":"Aquifer; Geothermal gradient; Geology; Petroleum engineering; Clogging; Sedimentary rock; Geochemistry; Petrology; Hydrology (agriculture); Geomorphology; Groundwater; Geotechnical engineering; Geophysics; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002133949,0.0001113015,0.0001876907,0.0001337869,0.00004078507,0.00003135472,0.00008193829,0.00007084335,0.0006260208],"category_scores_gemma":[0.00003486511,0.00008819957,0.00002693652,0.0003097707,0.00008110381,0.0006584828,0.00001328164,0.00009921066,0.000004329108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005312068,"about_ca_system_score_gemma":0.00005688537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009193127,"about_ca_topic_score_gemma":0.003797218,"domain_scores_codex":[0.9991336,0.00007650581,0.0002926141,0.0001807964,0.0001458561,0.0001706568],"domain_scores_gemma":[0.9995409,0.000209069,0.00008777934,0.00007617965,0.00004564919,0.0000404126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001746588,0.0005583014,0.3187197,0.004808778,0.0003431399,0.00005789668,0.007488074,0.327387,0.02841993,0.001305471,0.001219614,0.3079455],"study_design_scores_gemma":[0.002998491,0.002145208,0.2817759,0.001410358,0.00009834227,0.00005923932,0.002168986,0.6013307,0.07757967,0.006646833,0.02265838,0.001127953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952585,0.002236621,0.0004867153,0.0002302505,0.0001014264,0.00008530978,0.00007393859,0.00002874561,0.001498536],"genre_scores_gemma":[0.9993683,0.0002134447,0.00004207357,0.0001205221,0.00003196062,0.000005861315,0.0001180565,0.000004123756,0.00009573051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3068176,"threshold_uncertainty_score":0.9974048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068398638416094,"score_gpt":0.2187007597002068,"score_spread":0.2080167733160459,"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."}}