{"id":"W4293238681","doi":"10.3390/cleantechnol4020019","title":"Thermal Investigation of a Turbocharger Using IR Thermography","year":2022,"lang":"en","type":"article","venue":"Clean Technologies","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermocouple; Thermography; Bearing (navigation); Emissivity; Casing; Turbocharger; Gas compressor; Turbine; Thermal; Shroud; Temperature measurement; Materials science; Mechanical engineering; Infrared; Environmental science; Optics; Engineering; Computer science; Composite material; Physics; Meteorology; Thermodynamics","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":[0.00006092551,0.00007595667,0.00008580173,0.0002029016,0.00008371691,0.000006171229,0.0001615934,0.00004350315,0.00003664741],"category_scores_gemma":[0.000005943754,0.00007177449,0.0000360073,0.0004351746,0.00007058457,0.0001040897,0.00007048168,0.0001541509,0.000001156997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002579836,"about_ca_system_score_gemma":0.000005656875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003954155,"about_ca_topic_score_gemma":7.182566e-7,"domain_scores_codex":[0.9995945,0.000008620776,0.0001215566,0.00007610113,0.00008968638,0.0001095382],"domain_scores_gemma":[0.9997683,0.000008004698,0.00003777917,0.000167944,0.00001132268,0.000006618462],"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":[0.00000597102,0.00001072863,0.01694414,0.00004238616,0.00002969758,0.000001429103,0.0005190457,0.7790949,0.1485975,0.0003793899,0.0002685944,0.05410621],"study_design_scores_gemma":[0.0003007991,0.0001045568,0.01589113,0.00002112336,0.00002395608,0.0000065367,0.005840754,0.6397818,0.3360363,0.001276696,0.0003949043,0.0003214987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973964,0.0003762741,0.0006057027,0.0000350781,0.0001068082,0.0000813126,0.000007650879,0.001156582,0.0002341852],"genre_scores_gemma":[0.998411,0.00003398623,0.001485487,0.00001336917,0.000008770996,0.00001658652,0.000008672245,0.00001716567,0.00000497411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1874388,"threshold_uncertainty_score":0.2926879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145132490449207,"score_gpt":0.1903515365472802,"score_spread":0.1789002116427882,"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."}}