{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006989258,0.00005691492,0.00008761691,0.0001246846,0.00002568392,0.000005469379,0.00003060366,0.00009240882,0.0001631763],"category_scores_gemma":[0.00003113873,0.00005406002,0.00003266842,0.0001176718,0.00003774929,0.00008796206,0.00000901408,0.00003065726,0.000004034146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002780472,"about_ca_system_score_gemma":0.000005927431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001534703,"about_ca_topic_score_gemma":3.467908e-7,"domain_scores_codex":[0.9995752,0.00001070992,0.0001690307,0.0001152561,0.00004501594,0.00008481826],"domain_scores_gemma":[0.9996495,0.00001184474,0.00001122395,0.0001456498,0.0001704129,0.00001139811],"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":[0.00001576594,0.00005116031,0.0001778805,0.0002728707,0.00003683722,3.433846e-7,0.0001786134,0.1017094,0.8554856,0.004129638,0.01046398,0.02747786],"study_design_scores_gemma":[0.0001114027,0.00005235814,0.00001937267,0.00001452741,0.000009771703,0.000008774164,0.00003509386,0.005218524,0.9789305,0.002715805,0.01281967,0.00006415931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2122603,0.001230619,0.7793964,0.002802542,0.00155315,0.0002589168,0.00002092388,0.001418628,0.001058504],"genre_scores_gemma":[0.8529196,0.0003025429,0.1455448,0.00001207,0.0001256525,0.0001161809,0.0001324579,0.00002561909,0.0008210614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6406593,"threshold_uncertainty_score":0.2204503,"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."}}