{"id":"W4323717892","doi":"10.48550/arxiv.2303.04727","title":"Large Interferometer For Exoplanets (LIFE): IX. Assessing the Impact of Clouds on Atmospheric Retrievals at Mid-Infrared Wavelengths with a Venus-Twin Exoplanet","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Exoplanet; Planet; Venus; Atmosphere (unit); Physics; Remote sensing; Environmental science; Astronomy; Astrobiology; Geology; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009119314,0.0004624345,0.0002823375,0.0003637702,0.000395264,0.0005075412,0.0007774671,0.0004901993,0.0008182501],"category_scores_gemma":[0.00143878,0.0002600761,0.0005568994,0.0004523348,0.0002212862,0.001019562,0.0007964043,0.0004749702,0.0002080368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471801,"about_ca_system_score_gemma":0.0003845523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007290182,"about_ca_topic_score_gemma":0.009523403,"domain_scores_codex":[0.9997156,0.00005679922,0.00001855699,0.0000691583,0.00007943321,0.00006032239],"domain_scores_gemma":[0.9996308,0.0001177496,0.00004895521,0.00009354728,0.00005639404,0.00005248668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003486688,0.001088927,0.3741256,0.0004361239,0.00099819,0.0009560334,0.0008817998,0.2623148,0.1883176,0.003217764,0.006445353,0.1577313],"study_design_scores_gemma":[0.0004566298,0.0008548535,0.2431183,0.00002148149,0.0001221617,0.0003490134,0.0001917213,0.691237,0.05765628,0.0009110532,0.004999623,0.00008192562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986012,0.000193303,0.009284945,0.0001579819,0.00003084845,0.00005714844,0.00118993,0.001294089,0.001779774],"genre_scores_gemma":[0.9694654,0.00005260727,0.0264645,0.00004570925,0.00001793614,0.00002812971,0.00335438,0.0001547358,0.000416645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007290182,"threshold_uncertainty_score":0.01449549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951185281300193,"score_gpt":0.2346663047781026,"score_spread":0.1751544519651007,"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."}}