{"id":"W3027843438","doi":"","title":"Theoretical development of thermodynamic properties of an environmental friendly refrigerant RE170 by using Martin HOU equation of state.","year":2018,"lang":"en","type":"article","venue":"2018 Purdue Conferences. 17<sup>th</sup> International Refrigeration and Air-Conditioning Conference at Purdue.","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; ASHRAE 90.1; Thermodynamics; Chemistry; Equation of state; Enthalpy; Isentropic process; Vapor pressure; Organic chemistry; Gas compressor; Meteorology","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":[0.0003937942,0.0004500223,0.0004097453,0.0007635294,0.00037188,0.0006453023,0.0007788066,0.000848282,0.004831189],"category_scores_gemma":[0.0009974664,0.000307461,0.0008531209,0.0004817578,0.0007907418,0.001542641,0.0006717425,0.0008565725,0.001293803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006441704,"about_ca_system_score_gemma":0.0006074587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728633,"about_ca_topic_score_gemma":0.0009406338,"domain_scores_codex":[0.9997978,0.00004991339,0.00000869922,0.00002687615,0.00008725355,0.00002955965],"domain_scores_gemma":[0.9998158,0.0000774588,0.00001782926,0.00001787581,0.00006345779,0.000007597854],"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":[0.00005616573,0.0000391777,0.001087766,0.0008108497,0.0000438108,0.0003479136,0.0002363087,0.225658,0.01345564,0.7223443,0.005606036,0.0303141],"study_design_scores_gemma":[0.00001634273,0.0000688316,0.001133023,0.00009838255,0.00001950608,0.0002593818,0.00006005374,0.7539672,0.005128712,0.2036208,0.03558683,0.00004091788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07482138,0.01734856,0.7361981,0.003037486,0.0007448125,0.0001921166,0.001418216,0.0003141442,0.1659252],"genre_scores_gemma":[0.781483,0.01126452,0.1389862,0.0008549322,0.0004728756,0.0007081222,0.001353325,0.000527708,0.06434929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004831189,"threshold_uncertainty_score":0.01616198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767997829832973,"score_gpt":0.2306317760118356,"score_spread":0.2129517977135059,"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."}}