{"id":"W2161482148","doi":"","title":"INVESTIGATING THE APPLICATION OF ENVIRONMENTALLY FRIENDLY SOLUTIONS IN REFRIGERATION APPLICATIONS OF UGANDA","year":2013,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Montreal Protocol; Environmentally friendly; Global warming; Greenhouse gas; Refrigeration; Environmental science; Ozone layer; Waste management; Air conditioning; Flammability; Natural resource economics; Environmental protection; Environmental engineering; Gas compressor; Ozone; Climate change; Engineering; Meteorology; Chemistry; Economics; Geography; Ecology","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":[0.0002785569,0.0001725981,0.000244168,0.0006879908,0.0001513727,0.00002826512,0.0006483243,0.000211524,0.00005808818],"category_scores_gemma":[0.0002650135,0.0001557667,0.0000505702,0.001241179,0.0007431592,0.0006645589,0.0001787788,0.0002906443,0.00002515593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000820899,"about_ca_system_score_gemma":0.00005939609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167147,"about_ca_topic_score_gemma":0.00007895502,"domain_scores_codex":[0.9984082,0.00002071356,0.0008516168,0.000267844,0.0002344014,0.000217232],"domain_scores_gemma":[0.9983234,0.00003941302,0.0003921528,0.0009895082,0.0002181024,0.00003744934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004021145,0.000432516,0.01298196,0.0003394621,0.000104342,2.565482e-7,0.0001791155,0.02804983,0.3255211,0.5232236,0.008943133,0.1002207],"study_design_scores_gemma":[0.00181744,0.0001942259,0.03657058,0.0003645559,0.0001110566,0.00001200281,0.00167395,0.3461294,0.4393437,0.01939088,0.1533496,0.001042581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3956482,0.0006145044,0.5832475,0.008313151,0.0001871365,0.003385792,0.0006371024,0.001249776,0.006716866],"genre_scores_gemma":[0.9696901,0.00007513881,0.02783153,0.00002831174,0.00001558225,0.001385065,0.000912981,0.00001684258,0.00004446596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5740419,"threshold_uncertainty_score":0.635198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192560197321649,"score_gpt":0.2250591045087163,"score_spread":0.2131335025354998,"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."}}