{"id":"W2887094578","doi":"10.11159/htff18.138","title":"Experimental Approach on a Swirl Flow and Heat Transfer Coefficient Using a 3-D Stereo-PIV and Liquid Crystals","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heat transfer coefficient; Heat transfer; Mechanics; Materials science; Liquid crystal; Flow (mathematics); Computer science; Mechanical engineering; Thermodynamics; Physics; Engineering; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001781903,0.000395691,0.0004562227,0.0001387336,0.00009823119,0.0001399648,0.0002121602,0.0001434203,0.00001792159],"category_scores_gemma":[0.00001869785,0.0003285996,0.00006030306,0.0001736142,0.0001354459,0.0001268574,0.0001117259,0.0002113544,4.562679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005646829,"about_ca_system_score_gemma":0.00000670103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004038738,"about_ca_topic_score_gemma":3.827681e-7,"domain_scores_codex":[0.9985325,0.000006040547,0.0003676433,0.0004296501,0.0002522221,0.0004119906],"domain_scores_gemma":[0.9995596,0.00003402989,0.00001313808,0.0001437842,0.00005049881,0.0001989396],"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":[0.0002524936,0.0000583594,3.046681e-7,0.0004185303,0.00004352264,5.999158e-7,0.00008792131,0.0004247589,0.9955553,0.00307688,0.00003005298,0.00005125697],"study_design_scores_gemma":[0.000709463,0.0002552115,6.799897e-7,0.0004501863,0.00004104097,0.00002603602,0.0000709431,0.09815914,0.8997477,0.00002104959,0.0002072971,0.0003112241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981984,0.00003606209,0.0002476164,0.00003476099,0.000584737,0.0004455752,0.0000404505,0.0001955998,0.0002167353],"genre_scores_gemma":[0.9972194,0.00002634372,0.002356438,0.00005125002,0.0002018305,0.00004643553,0.000002107399,0.00008685787,0.000009342129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09773438,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159280915551771,"score_gpt":0.2094284702844332,"score_spread":0.1978356611289155,"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."}}