{"id":"W3107322834","doi":"10.1051/e3sconf/202021303031","title":"Research and Development of Carbon Dioxide Refrigeration Technology","year":2020,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigeration; Refrigerant; Air conditioning; Mandate; Sustainable development; Vapor-compression refrigeration; Montreal Protocol; Environmental science; China; Carbon dioxide; Waste management; Engineering; Process engineering; Business; Mechanical engineering; Chemistry; Meteorology; Political science; Heat exchanger; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001077466,0.00005528591,0.0001262917,0.0001838774,0.0000342711,0.00001029719,0.0001071226,0.00008077324,0.0000241595],"category_scores_gemma":[0.0000610132,0.00005019622,0.000006335947,0.0002423675,0.0001651577,0.00004017466,0.00003492129,0.0001191043,0.000002034174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007477793,"about_ca_system_score_gemma":0.0001653419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002879034,"about_ca_topic_score_gemma":0.00001474573,"domain_scores_codex":[0.9994767,0.00001052862,0.0002032533,0.00009001958,0.000131099,0.00008835368],"domain_scores_gemma":[0.9997345,0.00003020894,0.00003007702,0.00007501207,0.0001103659,0.00001978995],"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":[0.00001751558,0.00003114745,0.01646989,0.00028585,0.00008975535,0.000002894996,0.001708178,0.0003533246,0.771883,0.1481707,0.0004216647,0.06056612],"study_design_scores_gemma":[0.0001459602,0.000108898,0.002025549,0.00005142507,0.000001727512,5.939444e-7,0.001410803,0.003588898,0.9826803,0.00235461,0.00754921,0.00008206915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859351,0.0002609173,0.0008150054,0.0008543448,0.00003041611,0.00007403699,0.000001699943,0.0002106954,0.01181777],"genre_scores_gemma":[0.9967684,0.0000765147,0.003109115,0.000003346117,0.000008671459,0.00001162573,0.000003328086,0.000004037744,0.00001499202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2107973,"threshold_uncertainty_score":0.2046943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970521207921133,"score_gpt":0.2876414591752984,"score_spread":0.2279362470960871,"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."}}