{"id":"W4387090525","doi":"10.1109/bdai59165.2023.10257146","title":"Data-driven prediction of ejector performance for PEMFC hydrogen fuel recirculation system","year":2023,"lang":"en","type":"article","venue":"","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Proton exchange membrane fuel cell; Injector; Hydrogen; Fuel injection; Environmental science; Computer science; Hydrogen fuel; Nuclear engineering; Fuel cells; Automotive engineering; Materials science; Thermodynamics; Chemistry; Engineering; Chemical engineering; Physics","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":[0.00009984121,0.00005657351,0.00008087861,0.0001139749,0.0000427235,0.00001236608,0.0001293942,0.00005783902,0.00001162066],"category_scores_gemma":[0.0000213672,0.00005312766,0.00002010176,0.0001977077,0.00001136292,0.0002213514,0.00002435029,0.00003278784,0.00003476391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003344516,"about_ca_system_score_gemma":0.000007226276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001078085,"about_ca_topic_score_gemma":0.000002201785,"domain_scores_codex":[0.9995504,0.000004179532,0.0001726603,0.0001055194,0.000079932,0.0000873263],"domain_scores_gemma":[0.9996277,0.00002290166,0.00002701209,0.0002761903,0.0000346177,0.0000115594],"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":[0.0000163271,0.000023142,0.009075614,0.004064036,0.0002233151,0.000001181734,0.0002946164,0.7777545,0.1351078,0.01643744,0.04519032,0.0118117],"study_design_scores_gemma":[0.0001320379,0.00002092972,0.005705938,0.00003748251,0.00001034424,0.000001318819,0.0001033462,0.9789279,0.01241383,0.00004047333,0.002556103,0.00005035265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588537,0.00003066067,0.03280021,0.00005790567,0.0003958141,0.0003721424,0.0004473247,0.004595899,0.002446303],"genre_scores_gemma":[0.9974058,0.00003686876,0.001421553,0.000001732662,0.00004620378,0.00005042908,0.0008792648,0.00001269623,0.0001454922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011734,"threshold_uncertainty_score":0.2166483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04685190739024321,"score_gpt":0.2411230144329178,"score_spread":0.1942711070426746,"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."}}