{"id":"W3022287621","doi":"10.29121/ijetmr.v2.i2.2015.31","title":"THERMAL PERFORMANCES OF DIFFERENT TYPES OF UNDERGROUND HEAT EXCHANGERS","year":2020,"lang":"en","type":"article","venue":"International Journal of Engineering Technologies and Management Research","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ASHRAE 90.1; Heat pump; Renewable energy; Environmental science; Refrigerant; Geothermal energy; Air conditioning; Renewable heat; Geothermal gradient; Environmental economics; Process engineering; Environmental engineering; Heat exchanger; Engineering; Waste management; Meteorology; Mechanical engineering; Electrical engineering; Hybrid heat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540435,0.00005737956,0.00012558,0.000238529,0.00001583126,0.00001567209,0.0003882143,0.0000334242,0.00001425017],"category_scores_gemma":[0.00003396515,0.00004241023,0.0000395654,0.0001333881,0.00006187265,0.00006458107,0.0001972126,0.0001181083,5.784975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004401,"about_ca_system_score_gemma":0.000004821603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009440319,"about_ca_topic_score_gemma":0.000005476609,"domain_scores_codex":[0.9992611,0.000008809852,0.000225954,0.00006622856,0.0003404211,0.00009749276],"domain_scores_gemma":[0.9996334,0.00004273224,0.00006848812,0.0000749094,0.000159652,0.00002084218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001374038,0.0001367228,0.001664463,0.0005519747,0.001038874,0.00003057482,0.0003709397,0.2846374,0.06050549,0.5482151,0.0003482734,0.1023628],"study_design_scores_gemma":[0.006246547,0.00368445,0.06135001,0.002871363,0.0002102892,0.00007654085,0.03489534,0.3289605,0.3096998,0.01070848,0.240137,0.001159693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917263,0.0008630425,0.001957854,0.003418856,0.000099609,0.00007524476,0.00000205072,0.00003518322,0.001821844],"genre_scores_gemma":[0.9975194,0.001772287,0.000599459,0.000005915935,0.00004454777,0.000006531601,6.886602e-7,0.000006133707,0.00004501642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5375066,"threshold_uncertainty_score":0.1729439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860940113172255,"score_gpt":0.2886703447616557,"score_spread":0.2500609436299331,"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."}}