{"id":"W1923583191","doi":"","title":"R-134a와 R-152a 냉매를 이용한 자동차용 에어컨 시스템의 성능에 관한 실험적 연구","year":2006,"lang":"ko","type":"article","venue":"대한설비공학회 하계학술발표회 논문집","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Condenser (optics); Air conditioning; Gas compressor; Global-warming potential; Environmental science; Global warming; Automotive industry; Montreal Protocol; Water chiller; Meteorology; Thermodynamics; Engineering; Climate change; Ozone layer; Greenhouse gas; Mechanical engineering; Ozone; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004879615,0.0003413504,0.0003770498,0.000412611,0.000385686,0.0002891879,0.0004713339,0.0004576209,0.009755501],"category_scores_gemma":[0.0004240594,0.0001453552,0.000406224,0.0002801872,0.0003400758,0.0003891525,0.0002883215,0.0003765756,0.005773077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178862,"about_ca_system_score_gemma":0.0005604455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488564,"about_ca_topic_score_gemma":0.001872556,"domain_scores_codex":[0.9996129,0.00005013356,0.0000243831,0.00008780381,0.000174281,0.00005048813],"domain_scores_gemma":[0.9995801,0.00003314229,0.00007571102,0.0000864943,0.0001911637,0.00003350332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001102627,0.0001635337,0.003054844,0.0005445559,0.00004600752,0.0002745128,0.00007622574,0.0009168862,0.9275891,0.003686781,0.008444537,0.05410049],"study_design_scores_gemma":[0.0001714568,0.002251815,0.01781297,0.00004706567,0.0001006074,0.001367105,0.00006803179,0.002372203,0.7844599,0.0005084116,0.1907841,0.00005634614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064442,0.004418583,0.01582683,0.0008556456,0.0005009231,0.0004977426,0.004668159,0.001593128,0.06519477],"genre_scores_gemma":[0.9319749,0.0009833786,0.01916161,0.0003676826,0.00006837545,0.0001761289,0.00375887,0.0002220822,0.04328704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009755501,"threshold_uncertainty_score":0.03263539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006207348640087039,"score_gpt":0.2172111973260156,"score_spread":0.2110038486859286,"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."}}