{"id":"W4392139216","doi":"10.1016/j.geothermics.2024.102969","title":"On the use of an underground storage tank for disposing bleed water in standing column well systems","year":2024,"lang":"en","type":"article","venue":"Geothermics","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underground storage tank; Column (typography); Petroleum engineering; Environmental science; Groundwater; Waste management; Storage tank; Mining engineering; Geology; Engineering; Geotechnical engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001297788,0.0002478652,0.0001874774,0.00025379,0.0002306305,0.0004061156,0.0005860217,0.000387747,0.002172055],"category_scores_gemma":[0.0003179574,0.0001251168,0.0003165217,0.0002966263,0.0002972806,0.0005603833,0.0003270348,0.0001793004,0.0003779898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734313,"about_ca_system_score_gemma":0.0005265639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005113571,"about_ca_topic_score_gemma":0.009099206,"domain_scores_codex":[0.9998487,0.00003057881,0.000007667409,0.00002300184,0.00006637631,0.00002367264],"domain_scores_gemma":[0.9998372,0.00005023259,0.00003416264,0.00002081113,0.0000503768,0.000007149544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005363111,0.0003120455,0.01039921,0.000777244,0.00005453156,0.001031616,0.000241197,0.2298773,0.5701207,0.004851831,0.001311885,0.1804862],"study_design_scores_gemma":[0.00005008281,0.00167453,0.01070582,0.0001668555,0.0001274344,0.0005235343,0.0005210302,0.6540995,0.3183932,0.001624229,0.01202869,0.00008509401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908637,0.001093102,0.09762345,0.0002838195,0.00004491161,0.0001045867,0.0001918506,0.0002419711,0.009552463],"genre_scores_gemma":[0.9817509,0.0006645377,0.01511724,0.00001971997,0.000004389239,0.00001992327,0.0000642507,0.000009106475,0.002349776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005113571,"threshold_uncertainty_score":0.0101676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795245324002368,"score_gpt":0.2100475102273715,"score_spread":0.1820950569873478,"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."}}