{"id":"W4285792353","doi":"10.1016/j.nucengdes.2022.111876","title":"Metallic melt jet fragmentation in a water pool: Experiments and numerical simulations","year":2022,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alberta Prion Research Institute; Strålsäkerhetsmyndigheten; Eidgenössisches Nuklearsicherheitsinspektorat","keywords":"Fragmentation (computing); Materials science; Water jet; Jet (fluid); Nuclear engineering; Metal; Mechanics; Liquid metal; Metallurgy; Mechanical engineering; Engineering; Physics; Nozzle; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006926405,0.00009487026,0.0001035747,0.00009775208,0.00006095038,0.00002781241,0.00003221682,0.00002570354,0.0001134383],"category_scores_gemma":[0.000001825055,0.00009165075,0.00001431321,0.000069328,0.000005254211,0.00006726298,0.00001953993,0.0001186629,0.000003448614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003800273,"about_ca_system_score_gemma":0.000001652503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001212403,"about_ca_topic_score_gemma":3.619203e-7,"domain_scores_codex":[0.9995357,0.00001454951,0.0001080722,0.0001102185,0.00008173913,0.0001496847],"domain_scores_gemma":[0.9998685,0.00002224323,0.000002037678,0.00005794283,0.000003404093,0.00004592977],"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":[0.000007880462,0.00001468596,0.00004042016,0.00001694167,0.00001504458,0.000005434453,0.001098857,0.8689712,0.1286997,0.0008461504,0.00003064992,0.0002529827],"study_design_scores_gemma":[0.0003179645,0.00004411395,0.000465304,0.000004136258,0.000007633847,0.000006109115,0.00005521888,0.9961345,0.001730205,0.00005794168,0.001053971,0.0001229208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565483,0.0002457002,0.04276809,0.0000360467,0.00008241376,0.0001313079,0.000004743681,0.0001365097,0.00004689545],"genre_scores_gemma":[0.9972228,0.00002433908,0.002639419,0.00002867856,0.00001020642,0.00002075053,0.00000781079,0.00003712219,0.000008835505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271632,"threshold_uncertainty_score":0.3737409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426976424173578,"score_gpt":0.2075725118316221,"score_spread":0.1933027475898863,"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."}}