{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004857509,0.0005708539,0.0006087863,0.0006283,0.0003955803,0.0009901518,0.0009635712,0.0007725791,0.01050224],"category_scores_gemma":[0.002108944,0.0002195164,0.0003853495,0.0009053585,0.0004963658,0.001605561,0.0009923588,0.001262496,0.002172914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577185,"about_ca_system_score_gemma":0.000783035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354242,"about_ca_topic_score_gemma":0.003168754,"domain_scores_codex":[0.9996412,0.00004392168,0.00002080664,0.00007104352,0.0001942708,0.00002871995],"domain_scores_gemma":[0.9994784,0.0001883071,0.00003734172,0.000120389,0.0001510268,0.00002455574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007322793,0.0001645185,0.001813055,0.0005456464,0.0001011055,0.0005941868,0.0001949567,0.2897412,0.04481546,0.07951362,0.04294729,0.5388366],"study_design_scores_gemma":[0.00002464269,0.00007323705,0.0004041494,0.00003328673,0.00001272323,0.0001671072,0.0000356554,0.9517797,0.01415704,0.0103336,0.02295185,0.00002691565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02540874,0.00149618,0.9517828,0.001627796,0.0007180387,0.0001886346,0.002878044,0.002284317,0.01361541],"genre_scores_gemma":[0.4636214,0.003399895,0.4848077,0.001279769,0.0007607669,0.0004370086,0.008916463,0.0008173704,0.03595974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01050224,"threshold_uncertainty_score":0.03513354,"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."}}