{"id":"W4404310908","doi":"10.48550/arxiv.2410.19108","title":"Earth-like exoplanets in spin-orbit resonances: climate dynamics, 3D atmospheric chemistry, and observational signatures","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Wetenschappelijk Onderzoek; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; European Commission; KU Leuven; Leverhulme Trust; Natural Environment Research Council; Met Office; UK Research and Innovation","keywords":"Exoplanet; Astrobiology; Earth (classical element); Atmospheric dynamics; Physics; Astronomy; Atmospheric chemistry; Planet; Environmental science; Atmospheric sciences; 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":[0.0001861452,0.0004258895,0.0003399604,0.0002690804,0.0004409975,0.0008129059,0.0006266142,0.0008442309,0.001344409],"category_scores_gemma":[0.000756709,0.0003219944,0.0006936534,0.0004083373,0.0005784497,0.0006769233,0.0007350735,0.0006651883,0.0001527628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340403,"about_ca_system_score_gemma":0.0003974407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085169,"about_ca_topic_score_gemma":0.01460344,"domain_scores_codex":[0.9999201,0.00001788908,0.000003800706,0.00002852354,0.00001102674,0.00001856856],"domain_scores_gemma":[0.9997883,0.00004732141,0.00003297467,0.0000363864,0.00002359686,0.00007134602],"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":[0.000318962,0.0001985215,0.08487996,0.00006303231,0.00016587,0.0002750451,0.0001924139,0.8935848,0.01259296,0.003292049,0.0009796444,0.003456766],"study_design_scores_gemma":[0.0001178843,0.0000536756,0.04603472,0.00001000821,0.0000267034,0.0000526666,0.0001207052,0.9498016,0.001205079,0.001629922,0.0009081436,0.00003882506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933546,0.000130212,0.002667567,0.0002468784,0.00002322647,0.00001362837,0.0009519442,0.000170705,0.002441313],"genre_scores_gemma":[0.9981716,0.00005711401,0.001059328,0.00003601126,0.000007236089,0.0000100021,0.0004322898,0.000030195,0.0001961605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02085169,"threshold_uncertainty_score":0.04146063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982361511738032,"score_gpt":0.1864239929236508,"score_spread":0.1566003778062705,"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."}}