{"id":"W4385759926","doi":"10.1016/j.rser.2023.113623","title":"Mechanisms causing injectivity decline and enhancement in geothermal projects","year":2023,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; European Commission; H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Energi Simulation","keywords":"Geothermal gradient; Petroleum engineering; Clogging; Environmental science; Process (computing); Risk analysis (engineering); Computer science; Geology; Business; Geography","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":[0.0009275247,0.0001950059,0.0004460963,0.0002228832,0.0001278225,0.00006348461,0.00006074064,0.00008690784,0.00002052233],"category_scores_gemma":[0.00005865372,0.0001623433,0.00004992346,0.0007310563,0.00002195337,0.0001603241,0.0001397409,0.00009500766,0.000002817074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000839183,"about_ca_system_score_gemma":0.00002990502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004798234,"about_ca_topic_score_gemma":0.001219799,"domain_scores_codex":[0.998681,0.00007854106,0.0003064582,0.0002658233,0.0001140347,0.0005541541],"domain_scores_gemma":[0.9996045,0.00004080701,0.0000384186,0.0002015203,0.00002311327,0.00009169776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002359755,0.00008148521,0.0005233146,0.00433019,0.000137904,0.0005668697,0.00109099,0.8682837,0.009600035,0.0009467557,0.003134834,0.1112803],"study_design_scores_gemma":[0.00098407,0.0001108934,0.0007079082,0.0005630994,0.00009637301,0.00003655261,0.001852559,0.3361478,0.0184431,0.005971106,0.6341501,0.0009363702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8010499,0.09547051,0.09058683,0.0005170275,0.0002337065,0.0008715057,0.00000270035,0.0006151577,0.0106527],"genre_scores_gemma":[0.9223082,0.06703668,0.0002677242,0.00008658165,0.0000444225,0.0001179856,0.00001122688,0.00003110759,0.01009608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6310153,"threshold_uncertainty_score":0.7253526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238539930967586,"score_gpt":0.2349867659690062,"score_spread":0.2226013666593303,"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."}}