{"id":"W2417874172","doi":"10.18090/samriddhi.v5i1.1519","title":"Successive Improvement of Refrigerants in Vapour Compression Refrigeration System for Sustainable Environment","year":2014,"lang":"en","type":"article","venue":"SAMRIDDHI A Journal of Physical Sciences Engineering and Technology","topic":"Space Technology and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Montreal Protocol; Refrigeration; Vapor-compression refrigeration; Ozone layer; Environmental science; Process engineering; Ozone depletion; Environmentally friendly; Implementation; Waste management; Computer science; Ozone; Chemistry; Engineering; Gas compressor; Organic chemistry; Ecology; Mechanical engineering","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":[0.00026367,0.00008822758,0.0002233075,0.0003251361,0.00005980878,0.000009363143,0.0001742382,0.00007079401,3.867866e-7],"category_scores_gemma":[0.00005202927,0.00007201313,0.00002862509,0.0003018913,0.0001102861,0.0001017193,0.00003070719,0.0001531801,2.812315e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006173935,"about_ca_system_score_gemma":0.00001046143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004523303,"about_ca_topic_score_gemma":9.146822e-7,"domain_scores_codex":[0.9993743,0.000004682418,0.0002323438,0.0001036834,0.00009176562,0.000193263],"domain_scores_gemma":[0.9996557,0.00009190117,0.0000949764,0.00008854911,0.0000407242,0.0000282136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001100355,0.00007898181,0.000312726,0.0003141359,0.00002591302,0.000003868482,0.0001412056,0.2229738,0.6220975,0.1331455,0.00001668101,0.02087868],"study_design_scores_gemma":[0.000851064,0.0007744955,0.0002855371,0.0002403834,0.00002353812,0.00002042056,0.0009263353,0.5558832,0.4320369,0.008128889,0.0006487717,0.0001804934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470697,0.0002168113,0.05223765,0.0001669454,0.00004278228,0.000138953,0.000001213125,0.00006216182,0.00006380466],"genre_scores_gemma":[0.9979106,0.00001956267,0.001998924,0.000001181622,0.00003302157,0.00002606015,3.186339e-7,0.000006410862,0.00000395198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3329094,"threshold_uncertainty_score":0.293661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003322657552751744,"score_gpt":0.2062877006547974,"score_spread":0.2029650431020457,"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."}}