{"id":"W4395659389","doi":"10.2139/ssrn.4826313","title":"Thermomechanical Transient Dynamics of Radial Rotor-Stator Contact","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Stator; Transient (computer programming); Rotor (electric); Dynamics (music); Mechanics; Mechanical engineering; Materials science; Control theory (sociology); Physics; Engineering; Computer science; Acoustics; Artificial intelligence","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007242276,0.0003048818,0.0004331895,0.0002430272,0.00003584789,0.00003008323,0.0003819612,0.0004114771,0.00004162031],"category_scores_gemma":[0.00001868444,0.0002978492,0.0003092993,0.0001356353,0.00002391081,0.00003767617,0.00007205069,0.006234004,0.00002075763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614521,"about_ca_system_score_gemma":0.001001746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001755176,"about_ca_topic_score_gemma":0.0001889926,"domain_scores_codex":[0.9977151,0.00004585283,0.0005218777,0.0002193379,0.0002066602,0.001291202],"domain_scores_gemma":[0.9994695,0.00005092226,0.00008800084,0.0002452952,0.00004918108,0.00009707599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001282134,0.0001081115,0.00009480221,0.0008774868,0.003530241,0.00004288868,0.0007834237,0.1870669,0.005571378,0.7463025,0.0003355677,0.05515856],"study_design_scores_gemma":[0.001559947,0.0005064737,0.0007315243,0.0005665435,0.0006927493,0.001075727,0.0006054755,0.5002474,0.001091953,0.4888098,0.002750667,0.001361802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3917815,0.02720254,0.5728011,0.0005967742,0.004970698,0.0005937818,0.0001451585,0.0005892841,0.001319135],"genre_scores_gemma":[0.995036,0.004206847,0.0001180294,0.000006946569,0.0003756702,0.00002553291,0.00003103977,0.00008968475,0.000110221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6032545,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004719958591079436,"score_gpt":0.2089027211596246,"score_spread":0.2041827625685451,"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."}}