{"id":"W4387929643","doi":"10.48550/arxiv.2310.14950","title":"Near-Infrared Transmission Spectroscopy of HAT-P-18$\\,$b with NIRISS: Disentangling Planetary and Stellar Features in the Era of JWST","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics; University of Victoria; McGill University; Bishop's University; Université du Québec à Montréal; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Space Telescope Science Institute; National Aeronautics and Space Administration","keywords":"Physics; Exoplanet; Starspot; Astrophysics; Transit (satellite); Light curve; Spectral line; Planet; Astronomy","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":[0.0001329949,0.000172375,0.0001350188,0.0006190514,0.000371961,0.0003530586,0.0002468951,0.0001362142,0.001027528],"category_scores_gemma":[0.0001320419,0.0001543008,0.0001265401,0.0005483755,0.0001606498,0.0004091749,0.0004992794,0.0003714216,0.0004276223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754482,"about_ca_system_score_gemma":0.000128574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008325131,"about_ca_topic_score_gemma":0.02469416,"domain_scores_codex":[0.9999386,0.000002129216,0.000002146573,0.00001589199,0.00002565053,0.00001557869],"domain_scores_gemma":[0.9998772,0.000006141986,0.00002599261,0.00001140643,0.00003759389,0.00004166812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004027786,0.0001627259,0.7443711,0.0000883364,0.00007763298,0.001070846,0.0009216054,0.0003900637,0.2028876,0.0004205036,0.004333199,0.04487355],"study_design_scores_gemma":[0.000005501395,0.00003313823,0.9928986,0.000004969281,0.00001252964,0.0001840357,0.0001607869,0.0005333683,0.003483486,0.00004422301,0.002635349,0.000004009793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954229,0.0001077116,0.0003516106,0.00003729277,0.000007725565,0.000006634212,0.0008248324,0.00004777712,0.00319349],"genre_scores_gemma":[0.9935117,0.0001554202,0.001937088,0.00005412901,0.00002207621,0.000009526234,0.002563692,0.00006355272,0.001682856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008325131,"threshold_uncertainty_score":0.01655334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966734713656788,"score_gpt":0.1795786121774568,"score_spread":0.1499112650408889,"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."}}