{"id":"W4402454976","doi":"10.11159/htff24.231","title":"Investigating the Use of Interferometry to Measure Temperature in Experimental Fluid Mechanics","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Experimental and Theoretical Physics Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interferometry; Measure (data warehouse); Fluid mechanics; Mechanics; Temperature measurement; Materials science; Optics; Physics; Computer science; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003137788,0.0004840079,0.0003635684,0.0005947868,0.000698479,0.001258057,0.0009731941,0.001235886,0.001286569],"category_scores_gemma":[0.008322348,0.0005119272,0.0005124923,0.0007583596,0.002161472,0.002586003,0.001002511,0.0007469022,0.000313929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000643777,"about_ca_system_score_gemma":0.0005789403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223627,"about_ca_topic_score_gemma":0.001045373,"domain_scores_codex":[0.9986209,0.0005963955,0.00004130663,0.0001258382,0.0004834984,0.0001321861],"domain_scores_gemma":[0.9958997,0.003176712,0.0002164432,0.0003106696,0.0003520475,0.00004447788],"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":[0.0009856618,0.0006685248,0.01809941,0.0003012303,0.0001100612,0.0004287491,0.001078577,0.01453872,0.8583468,0.02394228,0.0005149859,0.0809849],"study_design_scores_gemma":[0.0001091454,0.001484923,0.0174734,0.00005151484,0.0001090951,0.0008875617,0.0009480031,0.2260588,0.7337548,0.01334721,0.005662127,0.0001132782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8457767,0.001837355,0.1408341,0.0008070283,0.0001539223,0.0001758321,0.00007258401,0.0002337813,0.0101087],"genre_scores_gemma":[0.9588334,0.0005639241,0.03912338,0.00009443857,0.00003564861,0.00005565306,0.00003560882,0.00005369485,0.001204223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137788,"threshold_uncertainty_score":0.01659435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301301088539617,"score_gpt":0.225477166667266,"score_spread":0.2124641557818698,"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."}}