{"id":"W4402627374","doi":"10.1093/rasti/rzae039","title":"Data availability and requirements relevant for the <i>Ariel</i> space mission and other exoplanet atmosphere applications","year":2024,"lang":"en","type":"article","venue":"RAS Techniques and Instruments","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Nuclear Fuel Cycle and Supply Chain; Institut national des sciences de l'Univers; Institut sur la Nutrition et les Aliments Fonctionnels; Istituto Nazionale di Astrofisica; Centre National de la Recherche Scientifique; Vetenskapsrådet; HORIZON EUROPE Framework Programme; Nuclear Safety and Security Commission; Knut och Alice Wallenbergs Stiftelse; Agenzia Spaziale Italiana; Grantová Agentura České Republiky; American Sheep Industry Association; European Commission; Deutsche Forschungsgemeinschaft; Dipartimenti di Eccellenza; Space Telescope Science Institute; Agence Nationale de la Recherche; Nvidia; National Aeronautics and Space Administration; Belgian Federal Science Policy Office; UK Research and Innovation; Science and Technology Facilities Council; Horizon 2020 Framework Programme; California Department of Fish and Game; Russian Science Foundation; Fundação para a Ciência e a Tecnologia; Centre National d’Etudes Spatiales; Centre national d'études spatiales","keywords":"Exoplanet; Computer science; Data system; Snapshot (computer storage); Data science; Stars; Database","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":[0.02691479,0.0006999202,0.001349798,0.006212395,0.00198313,0.006890483,0.004075555,0.002566641,0.01995588],"category_scores_gemma":[0.08323023,0.0007534519,0.0008742232,0.007345552,0.0008200434,0.01073954,0.003934557,0.002082231,0.01058226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860608,"about_ca_system_score_gemma":0.003168126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286056,"about_ca_topic_score_gemma":0.00644714,"domain_scores_codex":[0.9864916,0.003335013,0.003245057,0.001225265,0.004642413,0.001060544],"domain_scores_gemma":[0.8669994,0.07328855,0.006914688,0.02246617,0.02570823,0.004622903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003544188,0.001006201,0.07608865,0.005625469,0.0001978197,0.00356769,0.004267728,0.01940113,0.02558086,0.05653602,0.5293909,0.2747934],"study_design_scores_gemma":[0.0002860217,0.0002454765,0.06834293,0.002654698,0.00009084857,0.001514316,0.002966556,0.02609914,0.02005669,0.02158678,0.8557263,0.0004301698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1354953,0.00412126,0.09971061,0.02857997,0.001613224,0.002856494,0.5344035,0.04362341,0.1495962],"genre_scores_gemma":[0.3497109,0.002940941,0.1047844,0.00392944,0.001489136,0.002731189,0.5155855,0.009125681,0.009702636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02691479,"threshold_uncertainty_score":0.1423407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380846379162763,"score_gpt":0.2884431727948463,"score_spread":0.25035853487857,"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."}}