{"id":"W4387896728","doi":"10.3997/2214-4609.202321118","title":"Optimization of the Thermal Performance of a CO2 Geothermal Thermosyphon","year":2023,"lang":"en","type":"article","venue":"","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Thermosiphon; Heat transfer; Response surface methodology; Geothermal gradient; Volumetric flow rate; Materials science; Inlet; Thermodynamics; Fluid dynamics; Thermal; Flow (mathematics); Heat transfer fluid; Mechanics; Mechanical engineering; Chemistry; Engineering; Geology; Physics; Chromatography","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":[0.0001378129,0.00008782467,0.0001349453,0.00004286558,0.00006714567,0.000004544414,0.000258471,0.00005767056,0.0006786133],"category_scores_gemma":[0.0000080708,0.00005408323,0.0000827613,0.0004907463,0.00007725916,0.00005370009,0.00005766346,0.00004583974,0.00004336297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007843923,"about_ca_system_score_gemma":0.00002671282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214165,"about_ca_topic_score_gemma":0.00006007895,"domain_scores_codex":[0.9992481,0.00004093679,0.0002733019,0.0001123272,0.0001785927,0.0001467153],"domain_scores_gemma":[0.9993455,0.00003259352,0.0001575371,0.0003738661,0.00006975736,0.00002078178],"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":[0.000009889565,0.00002358472,0.002658076,0.00002235553,0.00001828706,6.161834e-8,0.0001799767,0.9498389,0.03062097,0.01495319,0.00004722329,0.00162748],"study_design_scores_gemma":[0.0004833708,0.0000550466,0.1343619,0.00005639637,0.00002010295,0.000002348778,0.0002138387,0.7576265,0.1032143,0.00005180477,0.003747454,0.0001668855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362875,0.00001182283,0.0001214505,0.0001441844,0.00007583606,0.0001187394,0.000004349988,0.00007206666,0.0631641],"genre_scores_gemma":[0.9940085,0.00001209198,0.0001397765,0.0000420171,0.00003905878,0.00003460148,0.000005876509,0.00002175277,0.005696353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1922124,"threshold_uncertainty_score":0.7430339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101691081072646,"score_gpt":0.2061756609437961,"score_spread":0.1951587501330697,"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."}}