{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003118315,0.0004094728,0.0005662307,0.0005287137,0.0004842798,0.0003454952,0.0005757764,0.0004656796,0.001907591],"category_scores_gemma":[0.0004696789,0.0002250468,0.0002727206,0.0005168839,0.0004481071,0.0003853536,0.0002147808,0.0003665941,0.0004901397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255625,"about_ca_system_score_gemma":0.0001896586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240881,"about_ca_topic_score_gemma":0.001726924,"domain_scores_codex":[0.999658,0.00002492882,0.00001095783,0.00006519417,0.0001994262,0.0000416049],"domain_scores_gemma":[0.99965,0.00008452083,0.00003322603,0.00005164822,0.0001445072,0.00003608733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001635491,0.00004924881,0.002604253,0.00008025739,0.000009263616,0.0002703276,0.0002594155,0.001868991,0.9869139,0.0001133701,0.0001733147,0.007494169],"study_design_scores_gemma":[0.00001912614,0.001242912,0.04659202,0.00001539057,0.00003602364,0.0004388092,0.0004798805,0.01867069,0.9303154,0.00007742526,0.0020674,0.00004499955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939554,0.000141744,0.004552801,0.0000241603,0.00001414509,0.00002011539,0.0001339902,0.0001133961,0.00104425],"genre_scores_gemma":[0.9956723,0.00008889537,0.002679205,0.00001300737,0.000004598649,0.000009801763,0.00008123247,0.0000214477,0.001429451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001907591,"threshold_uncertainty_score":0.006381512,"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."}}