{"id":"W2563396370","doi":"","title":"GSHP Project Feasibility and Sensitivity Analysis with RETScreen","year":2016,"lang":"ko","type":"article","venue":"대한설비공학회 학술발표대회논문집","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Environmental science; Environmental engineering; Engineering; Natural gas; Civil engineering; Waste management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007965576,0.0005093466,0.0008408559,0.0002681454,0.0003054311,0.00008702128,0.0001540953,0.0002953464,0.0003445262],"category_scores_gemma":[0.00008424182,0.0003167897,0.0002696237,0.001297893,0.0003940511,0.0002571118,0.0001509144,0.0001802114,0.0001186107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564134,"about_ca_system_score_gemma":0.0001571595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03545423,"about_ca_topic_score_gemma":0.02944164,"domain_scores_codex":[0.9966591,0.000504777,0.0005422944,0.001195293,0.0004361347,0.0006624036],"domain_scores_gemma":[0.9973761,0.0003129946,0.0003472198,0.001446246,0.0002416954,0.0002757172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008772024,0.001089743,0.8477471,0.0003453445,0.007607534,0.0002755373,0.001434348,0.005599965,0.01749503,0.04874198,0.001204702,0.06758147],"study_design_scores_gemma":[0.002777367,0.0004225287,0.9131777,0.000312498,0.002538179,0.0001238341,0.0004481772,0.005733248,0.002092381,0.000376511,0.07055609,0.001441483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771258,0.000388443,0.008652951,0.002218075,0.00006800624,0.0007075025,0.0003936014,0.0002004764,0.01024511],"genre_scores_gemma":[0.9899511,0.0001406209,0.000517782,0.0001338298,0.0002532423,0.00009121659,0.00003264074,0.00006453544,0.008814993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06935138,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477518808643933,"score_gpt":0.254883626420631,"score_spread":0.2301084383341917,"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."}}