{"id":"W7155390986","doi":"10.13182/t133-49377","title":"Coupling and Mixing Efficiency in Marine MSFR","year":2025,"lang":"","type":"article","venue":"Transactions of the American Nuclear Society","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278705,0.00027053,0.000278602,0.000772808,0.0005006352,0.0007579763,0.0004241453,0.0005303882,0.002440622],"category_scores_gemma":[0.001411981,0.000260697,0.0002541518,0.0003382173,0.0003754064,0.000676321,0.0006364523,0.0004023243,0.0006357727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008360915,"about_ca_system_score_gemma":0.0002877053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009452716,"about_ca_topic_score_gemma":0.004808329,"domain_scores_codex":[0.9998234,0.0000200073,0.00001295993,0.00005870515,0.00005198702,0.00003291484],"domain_scores_gemma":[0.9996488,0.00009013348,0.00007612007,0.00003279105,0.0001040902,0.00004803036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006639383,0.00006671731,0.04950378,0.0001021673,0.00005188047,0.000396074,0.0007310279,0.0197283,0.8968282,0.005550844,0.0001944678,0.02618274],"study_design_scores_gemma":[0.00005127445,0.0009232293,0.3017439,0.00004257402,0.00009886048,0.0006186009,0.001210339,0.1607306,0.5268805,0.002390262,0.005192997,0.0001168757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934236,0.0001459377,0.002482534,0.00004460899,0.000008334991,0.000005145039,0.00006324407,0.00003993309,0.003786666],"genre_scores_gemma":[0.9982243,0.00003840152,0.0004803554,0.00000798479,0.000002998406,0.000002689902,0.00004053202,0.00001491844,0.001187879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009452716,"threshold_uncertainty_score":0.01879537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004093630831432312,"score_gpt":0.2161521803485203,"score_spread":0.212058549517088,"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."}}