{"id":"W4362736984","doi":"10.1016/j.triboint.2023.108495","title":"Thermal characteristics of a 90-mm bore cylindrical roller bearings for aerospace applications: All-steel versus hybrid bearings","year":2023,"lang":"en","type":"article","venue":"Tribology International","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermocouple; Bearing (navigation); Thrust bearing; Materials science; Thermal; Rotational speed; Thrust; Aerospace; Mechanical engineering; Automotive engineering; Structural engineering; Engineering; Composite material; Aerospace engineering; Computer science","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":[0.0001669382,0.0001367195,0.0002425367,0.0002120938,0.00004329493,0.00002408788,0.0003238993,0.000101988,0.000072077],"category_scores_gemma":[0.00007348743,0.0001452772,0.0001559398,0.0001781614,0.00005840754,0.00005374466,0.00008699435,0.0001657976,0.00009293914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892225,"about_ca_system_score_gemma":0.00001849162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001957664,"about_ca_topic_score_gemma":0.000009018936,"domain_scores_codex":[0.9990471,0.000009003457,0.0003095195,0.0002097963,0.0001811086,0.0002434491],"domain_scores_gemma":[0.9993868,0.0001554611,0.00008005741,0.0001854013,0.0001400583,0.00005224769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004608911,0.001872745,0.244713,0.001174887,0.02139367,0.0001645204,0.00427892,0.2172049,0.2347208,0.09985327,0.02607136,0.143943],"study_design_scores_gemma":[0.003181783,0.0001519516,0.1251789,0.00002207872,0.0002577673,0.00001010091,0.00007786194,0.8206561,0.002039769,0.000583453,0.04738289,0.0004573661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877947,0.00002584473,0.00818041,0.0007691378,0.0007107701,0.0002824538,0.0002371529,0.0002516112,0.001747947],"genre_scores_gemma":[0.9966047,0.00005240761,0.001343443,0.00003353577,0.0001427572,0.0001639682,0.0006757452,0.00003334387,0.0009500285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6034511,"threshold_uncertainty_score":0.5924233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854718543081242,"score_gpt":0.2668871188701306,"score_spread":0.2483399334393181,"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."}}