{"id":"W4200151287","doi":"10.3390/fluids6120444","title":"Reduction of Energy Consumption for Water Wells Rehabilitation. Technology Optimization","year":2021,"lang":"en","type":"article","venue":"Fluids","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"Kuban Science Foundation","keywords":"Clogging; Drawdown (hydrology); Petroleum engineering; Nozzle; Environmental science; Water well; Natural gas; Lead (geology); Groundwater; Environmental engineering; Aquifer; Engineering; Waste management; Geology; Geotechnical engineering; Mechanical engineering","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":[0.0001826047,0.0004998103,0.0003170811,0.0006731173,0.0002921291,0.0005434857,0.0003463186,0.0004052861,0.005389783],"category_scores_gemma":[0.0002624317,0.0001593126,0.0004406136,0.0009608627,0.0001435023,0.0007038839,0.0002525968,0.0002849602,0.001430502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322821,"about_ca_system_score_gemma":0.0004463775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005573356,"about_ca_topic_score_gemma":0.001885229,"domain_scores_codex":[0.9997821,0.0000193826,0.00001320792,0.00003433036,0.0001244677,0.00002648459],"domain_scores_gemma":[0.99988,0.00002257489,0.00003304122,0.00001211749,0.00004464729,0.000007653973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002550725,0.0001922449,0.003530613,0.001377632,0.00003492163,0.0002654218,0.00005053137,0.02516643,0.6836661,0.002920312,0.002792149,0.2797486],"study_design_scores_gemma":[0.00006990526,0.001349458,0.02975556,0.0002390492,0.0001690233,0.00117506,0.000513308,0.07989664,0.7835659,0.005247747,0.09793264,0.0000855826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5052595,0.01665851,0.4133635,0.001217634,0.0002984946,0.0004925234,0.001772276,0.00141048,0.05952707],"genre_scores_gemma":[0.9224859,0.004303771,0.06033291,0.000100447,0.00002258362,0.0001663029,0.0006199895,0.0001192463,0.01184895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005389783,"threshold_uncertainty_score":0.01803058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00618847672857164,"score_gpt":0.2134308284744929,"score_spread":0.2072423517459212,"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."}}