{"id":"W4289831696","doi":"10.1093/mnras/stac2178","title":"The Hot Neptune WASP-166 b with ESPRESSO – I. Refining the planetary architecture and stellar variability","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Science and Technology Facilities Council; European School of Oncology; H2020 European Research Council; Fondo Nacional de Desarrollo Científico y Tecnológico; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Fonds de recherche du Québec – Nature et technologies; Horizon 2020 Framework Programme; UK Research and Innovation; National Science Foundation","keywords":"Physics; Astrophysics; Planet; Limb darkening; Differential rotation; Planetary system; Neptune; Astronomy; Exoplanet; Stellar rotation; Star (game theory); Stars","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":[0.0001581439,0.0002688855,0.0001510069,0.0002772623,0.0002117066,0.0003538938,0.0002184875,0.0002072162,0.0007605774],"category_scores_gemma":[0.0002697966,0.0001464838,0.0003715271,0.0003460965,0.0001598423,0.0002381672,0.0003073048,0.0001972965,0.0001954459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115309,"about_ca_system_score_gemma":0.0001111831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007794718,"about_ca_topic_score_gemma":0.009144196,"domain_scores_codex":[0.9999479,0.000007899738,0.000002689843,0.00002410338,0.000009172986,0.000008133561],"domain_scores_gemma":[0.9998958,0.00001535084,0.00002903874,0.00002076186,0.00001268074,0.00002630346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001137337,0.0001071446,0.7860622,0.0001715058,0.0001986928,0.001402711,0.0005226606,0.03487935,0.1429698,0.0006101214,0.0008048066,0.03113361],"study_design_scores_gemma":[0.0000211729,0.0001188654,0.958331,0.00001568204,0.00004114939,0.000336875,0.0001897758,0.03304394,0.005052051,0.0001788261,0.002660272,0.00001037355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983308,0.00004939169,0.0005772329,0.00001443183,0.000002803802,0.000005982636,0.0002463623,0.00002877639,0.0007443001],"genre_scores_gemma":[0.9980862,0.00002598954,0.0009599978,0.000006978732,0.000002593338,0.000003430153,0.0006778319,0.00001277767,0.0002242933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007794718,"threshold_uncertainty_score":0.0154987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00576810612440358,"score_gpt":0.1791073478840412,"score_spread":0.1733392417596376,"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."}}