{"id":"W4389541107","doi":"10.17118/11143/20862","title":"A coupled pressure-based computional method for caviation in steady-state– a finite element modeling strategy applied to journal bearing","year":2023,"lang":"en","type":"article","venue":"","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Finite element method; Bearing (navigation); Steady state (chemistry); Computer science; Engineering; Structural engineering; Artificial intelligence; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.000613995,0.0001187148,0.0001569716,0.0003545617,0.00006580113,0.00003662331,0.00009543598,0.00005960846,0.00002223302],"category_scores_gemma":[0.00002686795,0.0001289372,0.00003759593,0.0003745915,0.000002922833,0.00006113161,0.0000133693,0.0001701635,0.00001547468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007564932,"about_ca_system_score_gemma":0.0000377053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001193696,"about_ca_topic_score_gemma":0.0000250295,"domain_scores_codex":[0.999096,0.00001563663,0.0003275214,0.000145581,0.0001299182,0.0002853005],"domain_scores_gemma":[0.9995707,0.0001907221,0.00002362277,0.00008519377,0.00005566641,0.00007405804],"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":[0.00002373408,0.00001085378,0.00004389276,0.00004586342,0.0000340414,9.884852e-7,0.0002101342,0.9931293,0.003157701,0.001209764,0.00009647242,0.002037255],"study_design_scores_gemma":[0.0007900189,0.00002077926,0.0008853874,0.00001550322,0.00001059909,0.000001198077,0.0000735119,0.9967726,0.0004958648,0.0003738273,0.0004194947,0.0001412482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02478638,0.00002909147,0.9741315,0.00009447127,0.0001256157,0.0003783526,0.00001133932,0.0003161212,0.0001271296],"genre_scores_gemma":[0.9396703,0.000003715179,0.05999268,0.00004838598,0.00005622195,0.0001057665,0.00005343943,0.00002423968,0.00004523551],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9148839,"threshold_uncertainty_score":0.5257906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918113608270771,"score_gpt":0.27960527002354,"score_spread":0.2504241339408323,"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."}}