{"id":"W3184768421","doi":"10.48550/arxiv.2107.08938","title":"Compressed Compressor","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gas compressor; Business; Environmental science; Petroleum engineering; Geology; Engineering; Mechanical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003787073,0.0002534873,0.0002742664,0.0001191223,0.00006585635,0.00007276572,0.0003585896,0.0002502496,0.0002100221],"category_scores_gemma":[0.00000382602,0.000316306,0.0001298286,0.0002208468,0.00003706376,0.0002019842,0.0002985908,0.0005006029,0.0000486777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009372873,"about_ca_system_score_gemma":0.00003105033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003087112,"about_ca_topic_score_gemma":0.00003170535,"domain_scores_codex":[0.9991902,0.00002913544,0.0001372019,0.0003723877,0.00004769628,0.000223351],"domain_scores_gemma":[0.9992445,0.00002274628,0.00004905975,0.000529171,0.00006761566,0.00008697803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007999767,0.00002206264,0.001089384,0.0002116717,0.00008125835,0.00008470576,0.00008513079,0.9971545,0.0001041943,0.0003578548,0.0006879343,0.0001132591],"study_design_scores_gemma":[0.0003049011,0.000006368882,0.001505748,0.00008683273,0.00006508344,0.000001973245,0.00004765427,0.9959354,0.0004811912,0.0001963963,0.001020854,0.0003475429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8589164,0.0004452837,0.1294655,0.000009496547,0.000975618,0.0001764033,0.00003303035,0.00067451,0.009303788],"genre_scores_gemma":[0.9977103,0.0008969186,0.000381818,0.00003118742,0.00009567225,8.279964e-7,0.0002501472,0.00003968826,0.0005933768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.138794,"threshold_uncertainty_score":0.9999289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255491798281531,"score_gpt":0.1534232817616772,"score_spread":0.1108683637788618,"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."}}