{"id":"W2910338511","doi":"10.3166/i2m.17.315-329","title":"Experimental analysis to predict the performance of a plate fin heat exchanger at cryogenics temperature","year":2018,"lang":"fr","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heat exchanger; Cryogenics; Fin; Cryogenic temperature; Materials science; Plate fin heat exchanger; Nuclear engineering; Thermodynamics; Plate heat exchanger; Engineering; Physics; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003770382,0.0002916858,0.0003457463,0.0002282582,0.0002396296,0.00005129509,0.0002487189,0.0002715226,0.001160767],"category_scores_gemma":[0.00001917414,0.000243681,0.0001874246,0.00111615,0.000182281,0.0002702883,0.00006203994,0.000202705,0.00008936724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038388,"about_ca_system_score_gemma":0.00005267875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009783523,"about_ca_topic_score_gemma":0.0001748055,"domain_scores_codex":[0.9982262,0.0001612482,0.0004997666,0.0003273483,0.0003577048,0.0004276821],"domain_scores_gemma":[0.9992729,0.0000697863,0.00003645751,0.0003691224,0.0001303743,0.0001213737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006312331,0.0001680056,0.04748034,0.0001739164,0.002176998,0.000006203177,0.01741131,0.6212378,0.3005004,0.0001279144,0.004751605,0.005334344],"study_design_scores_gemma":[0.001233139,0.001210043,0.05414555,0.00005909986,0.0009273382,0.00001255365,0.0005476329,0.1610353,0.7781629,0.000007508882,0.002282818,0.0003761577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887838,0.001763401,0.004759895,0.002185744,0.001342114,0.0005382824,0.0001954578,0.00009165548,0.0003397027],"genre_scores_gemma":[0.9946976,0.0004142737,0.003448029,0.0004102299,0.0002988359,0.00007576153,0.0001360416,0.00003350257,0.0004857829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776625,"threshold_uncertainty_score":0.9997523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661958824698919,"score_gpt":0.2626717732104781,"score_spread":0.2460521849634889,"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."}}