{"id":"W4391673393","doi":"10.48550/arxiv.2402.04961","title":"Quantum vortex stability in draining fluid flows","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique; Government of Canada; Science and Technology Facilities Council; Ministry of Colleges and Universities; UK Research and Innovation","keywords":"Vortex; Quantum fluid; Stability (learning theory); Quantum; Physics; Mechanics; Classical mechanics; Quantum mechanics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004834842,0.0005941993,0.0006714911,0.0003754412,0.0001120979,0.0001268099,0.0008485083,0.0003219404,0.0006996901],"category_scores_gemma":[0.00001399306,0.0007235314,0.0004609951,0.0006870332,0.0001547838,0.0001809871,0.002061033,0.00176929,0.0004508756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322123,"about_ca_system_score_gemma":0.0005265458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00476137,"about_ca_topic_score_gemma":0.0007858593,"domain_scores_codex":[0.9969131,0.0002125463,0.0004844661,0.001595525,0.0001313192,0.0006630508],"domain_scores_gemma":[0.9980969,0.0001662293,0.000140313,0.001263402,0.0001191618,0.0002140042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001399253,0.000552497,0.2076349,0.0006563683,0.0005022211,0.0003641195,0.003578543,0.2282652,0.0007101506,0.5564008,0.0002376165,0.0009575768],"study_design_scores_gemma":[0.0004277279,0.00003067563,0.001467441,0.0002372015,0.0001382078,5.745684e-7,0.001483966,0.800155,0.00006430734,0.1951295,0.0001900592,0.000675387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765966,0.0001061904,0.01302279,0.00005410577,0.001180807,0.0004868647,0.000300475,0.0001976935,0.00805451],"genre_scores_gemma":[0.9987906,0.00002426655,0.0001163038,0.00001880674,0.0002683879,0.000004441584,0.000172942,0.00008278182,0.0005214821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5718898,"threshold_uncertainty_score":0.9995216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030350252398928,"score_gpt":0.1966386106920608,"score_spread":0.1463351081680715,"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."}}