{"id":"W3089142108","doi":"10.1139/cgj-2020-0208","title":"Experimental modelling of seasonal thermal energy storage within unconfined aquifer (ATES)","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Thermal energy storage; Environmental science; Geotechnical engineering; Energy storage; Thermal; Extraction (chemistry); Petroleum engineering; Groundwater; Geology; Meteorology; Thermodynamics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001741563,0.0002153339,0.0003138661,0.0001018726,0.0002100196,0.0000586809,0.0004458745,0.0002054211,0.001304776],"category_scores_gemma":[0.00002255806,0.0001983007,0.0001877038,0.0002598375,0.0001065096,0.0001105043,0.00003882445,0.0004090747,0.00003178225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593215,"about_ca_system_score_gemma":0.0005527426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09989885,"about_ca_topic_score_gemma":0.003866043,"domain_scores_codex":[0.99834,0.00008179953,0.0005582018,0.000263123,0.0003095099,0.0004473751],"domain_scores_gemma":[0.9981871,0.00002904733,0.0002111042,0.0002252979,0.000108879,0.00123852],"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":[0.00002791239,0.00002682494,0.00001623898,0.000004312418,0.00004652557,0.00005932071,0.0001880827,0.9295185,0.02254139,0.04642622,0.0004561315,0.000688516],"study_design_scores_gemma":[0.0008125774,0.0001794869,0.0001004985,0.00005352445,0.00002974429,0.0001739114,0.0003804675,0.8828136,0.01794626,0.0004578113,0.09661792,0.0004342378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792771,0.001542115,0.09851457,0.007563107,0.0004753321,0.000233698,0.00009624996,0.0001989482,0.01209892],"genre_scores_gemma":[0.9970092,0.000005140889,0.0005954704,0.001507728,0.0005409167,0.0000169554,0.00001253452,0.0000483462,0.0002637564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177321,"threshold_uncertainty_score":0.9996082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473690868993784,"score_gpt":0.2151416348532984,"score_spread":0.1904047261633606,"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."}}