{"id":"W4393500827","doi":"10.5281/zenodo.3592165","title":"Arid or Cloudy: Characterizing the Atmosphere of the super-Earth 55 Cancri e using High-Resolution Spectroscopy","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Atmosphere (unit); Earth (classical element); Arid; Spectroscopy; Astrobiology; Environmental science; Atmospheric sciences; Remote sensing; Physics; Geology; Meteorology; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000520394,0.001247537,0.0006680338,0.001095459,0.0003970647,0.001126754,0.00174864,0.00113476,0.01078415],"category_scores_gemma":[0.001458502,0.0003659096,0.001050056,0.002164587,0.0003362805,0.000853377,0.001264751,0.0008761191,0.01582793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007111978,"about_ca_system_score_gemma":0.0009910143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03231986,"about_ca_topic_score_gemma":0.06035296,"domain_scores_codex":[0.9996762,0.00004051753,0.00002897826,0.0001073486,0.00007127124,0.00007568119],"domain_scores_gemma":[0.9994882,0.00007391033,0.00007151131,0.0001885472,0.000106595,0.00007113638],"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":[0.0002249778,0.00005976808,0.01362423,0.000848274,0.0001943337,0.0000900287,0.00008287128,0.003046542,0.001588467,0.001120261,0.9718767,0.007243619],"study_design_scores_gemma":[0.0004983887,0.000047524,0.09442934,0.00039406,0.0001390002,0.0001234606,0.0003153899,0.006671165,0.003279416,0.003780346,0.8901919,0.0001299968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002338293,0.00008480976,0.000177143,0.00007211293,0.00003713649,0.000008505448,0.9959106,0.0005926067,0.0007788049],"genre_scores_gemma":[0.004739755,0.00005455824,0.0005244637,0.00003770377,0.00001132273,0.00002663438,0.9939935,0.00009286159,0.0005193233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03231986,"threshold_uncertainty_score":0.06426346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237761880882775,"score_gpt":0.237308617733569,"score_spread":0.1849309989247413,"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."}}