{"id":"W4401743878","doi":"10.2139/ssrn.4932131","title":"A Thorough and Efficient Design Process for Transcritical Co2 Ejectors","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Transcritical cycle; Process (computing); Injector; Process engineering; Computer science; Manufacturing engineering; Engineering; Mechanical engineering; Programming language; Refrigerant","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000633648,0.0002502332,0.0002464337,0.0001866416,0.0001411518,0.0002245273,0.0002039852,0.000281473,0.000005695308],"category_scores_gemma":[0.00006334768,0.0002206502,0.0001256471,0.00009295093,0.00006479382,0.0000322117,0.00004089427,0.003062906,0.000005010731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412855,"about_ca_system_score_gemma":0.0007950855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001011514,"about_ca_topic_score_gemma":0.00001036456,"domain_scores_codex":[0.9981477,0.00002472745,0.0002753814,0.0002476747,0.0001584786,0.001146098],"domain_scores_gemma":[0.9996631,0.00006565756,0.00002986512,0.0001217608,0.00006716914,0.00005241828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008152817,0.00008388908,0.00001254904,0.001684985,0.001104634,0.00002132864,0.001172716,0.486198,0.001952453,0.4856383,0.001321102,0.02072847],"study_design_scores_gemma":[0.0002766888,0.0001652708,0.000004920648,0.00025488,0.0001197217,0.0002414643,0.0006178205,0.1306423,0.002602756,0.864427,0.0003195006,0.0003276433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560871,0.01640944,0.8230051,0.001705651,0.0008026088,0.0006536433,0.00002790462,0.001036164,0.0002723734],"genre_scores_gemma":[0.9959708,0.002211796,0.001291096,0.00001643973,0.0001854559,0.0001369057,0.00001001633,0.00006078105,0.0001166633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8398837,"threshold_uncertainty_score":0.9992371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765625069533614,"score_gpt":0.2713520015200659,"score_spread":0.2536957508247297,"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."}}