{"id":"W4387405144","doi":"10.1007/jhep10(2023)034","title":"Modeling the complexity of elliptic black hole solution in 4D using Hamiltonian Monte Carlo with stacked neural networks","year":2023,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Black hole (networking); Monte Carlo method; Nonlinear system; Axion; Hybrid Monte Carlo; Artificial neural network; Hamiltonian (control theory); Equations of motion; Hamiltonian system; Gravitation; Statistical physics; Applied mathematics; Classical mechanics; Markov chain Monte Carlo; Computer science; Particle physics; Mathematical optimization; Quantum mechanics; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001078813,0.0006710312,0.000828158,0.0007937662,0.0006226179,0.0009769412,0.001418497,0.001743487,0.001891284],"category_scores_gemma":[0.004079383,0.0006725768,0.0007878912,0.0004213019,0.001944861,0.001572971,0.001383768,0.001233399,0.000108761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364179,"about_ca_system_score_gemma":0.00116007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663039,"about_ca_topic_score_gemma":0.0141028,"domain_scores_codex":[0.9997562,0.00009335081,0.00001152568,0.00005051165,0.00003980997,0.00004857278],"domain_scores_gemma":[0.9979897,0.00129112,0.0003336497,0.00007038729,0.0001533828,0.0001619328],"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":[0.00001960733,0.00001389428,0.001050527,0.0000150675,0.00001795932,0.00003612023,0.00002062627,0.988023,0.0002767598,0.009433176,0.00008473846,0.001008508],"study_design_scores_gemma":[0.00000118258,0.00000181464,0.00005712599,0.000001197086,0.000001149974,0.000001339865,0.000001847098,0.9980127,0.00002380521,0.001881692,0.00001461659,0.000001589982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4811756,0.0005560262,0.5110909,0.001043915,0.0000839438,0.00008089859,0.0002367361,0.0002861019,0.005445805],"genre_scores_gemma":[0.9743146,0.00015524,0.02309826,0.0001282763,0.00004471329,0.00007785726,0.0001382392,0.00004098112,0.002001867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01663039,"threshold_uncertainty_score":0.03306717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003605104722703,"score_gpt":0.2394506550324203,"score_spread":0.2094146039851932,"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."}}