{"id":"W2107142216","doi":"10.1111/j.1365-2966.2010.17428.x","title":"Bayesian exoplanet tests of a new method for MCMC sampling in highly correlated model parameter spaces","year":2010,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Markov chain Monte Carlo; Parallel tempering; Simulated annealing; Algorithm; Sampling (signal processing); Bayesian probability; Parameter space; Exoplanet; Physics; Computer science; Artificial intelligence; Hybrid Monte Carlo; Statistics; Stars; Mathematics; Astrophysics","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":[0.02648087,0.0009369723,0.001251831,0.002991402,0.001114588,0.002712775,0.003129052,0.001966768,0.003781092],"category_scores_gemma":[0.1292625,0.0008700212,0.001195758,0.00248173,0.002906724,0.002907913,0.003690366,0.002943204,0.0004638342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217084,"about_ca_system_score_gemma":0.002808501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00376952,"about_ca_topic_score_gemma":0.004000183,"domain_scores_codex":[0.9773197,0.01422892,0.0009942483,0.002530258,0.004532306,0.0003945615],"domain_scores_gemma":[0.8743082,0.1032067,0.005004485,0.01084604,0.005799915,0.000834569],"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":[0.001351287,0.0003430324,0.0525099,0.0003957584,0.001331644,0.0004844623,0.0005431333,0.4528929,0.005840514,0.2094253,0.004547908,0.2703342],"study_design_scores_gemma":[0.0001614556,0.0001664254,0.005677354,0.00004082081,0.00005803799,0.0002062649,0.00004089445,0.9561533,0.002277774,0.03285574,0.002310384,0.00005150371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04651307,0.0002295767,0.9482973,0.0002738624,0.00004264916,0.0001566235,0.0002709952,0.00074229,0.003473758],"genre_scores_gemma":[0.3288822,0.0001372236,0.6678696,0.0002465274,0.00008420668,0.0003589107,0.0008878715,0.0003790297,0.001154404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02648087,"threshold_uncertainty_score":0.1400459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662021955168566,"score_gpt":0.2561785085997474,"score_spread":0.2395582890480617,"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."}}