{"id":"W4403780098","doi":"10.48550/arxiv.2409.14569","title":"Effective potential approach to study hydrodynamics and particle dynamics in Kerr geometry","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Space Research Organisation; Canadian Patient Safety Institute","keywords":"Dynamics (music); Particle dynamics; Geometry; Physics; Particle (ecology); Classical mechanics; Geology; Mathematics; Molecular dynamics; Quantum mechanics","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":[0.0001275488,0.0002721187,0.0002916214,0.0002152699,0.00008681762,0.0001126761,0.0002807058,0.0001885991,0.00002712507],"category_scores_gemma":[0.00002849551,0.0003284687,0.0001057617,0.0005425496,0.00003536883,0.00005495108,0.001133362,0.0009748742,0.00002240492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008189623,"about_ca_system_score_gemma":0.00006011938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004336605,"about_ca_topic_score_gemma":0.0006007131,"domain_scores_codex":[0.9985161,0.00004741911,0.000184044,0.0008717513,0.00007520599,0.0003055068],"domain_scores_gemma":[0.9992203,0.00006709476,0.00007334435,0.0004458369,0.00005689941,0.0001365395],"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":[0.0007203156,0.005702964,0.08354807,0.001254441,0.001940341,0.00172542,0.003214346,0.8368157,0.004575079,0.05802724,0.0001295219,0.002346523],"study_design_scores_gemma":[0.0005267494,0.00008688658,0.001253402,0.00006341642,0.0002482763,0.000006472752,0.002932217,0.9855186,0.0003156903,0.008675137,0.00001005654,0.0003630899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898544,0.00004008797,0.003536989,0.00002842868,0.0001766436,0.000432428,0.00009104612,0.00008393714,0.005756071],"genre_scores_gemma":[0.9978122,0.00002964138,0.00007719584,0.00001399568,0.00004275182,0.00001305871,0.00004663108,0.00003707783,0.001927524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487029,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611850724149873,"score_gpt":0.1878829699958003,"score_spread":0.1717644627543016,"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."}}