{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000657986,0.0002208364,0.0002505641,0.00003542713,0.001912217,0.0005118938,0.001632486,0.0001036416,0.01875515],"category_scores_gemma":[0.0001983012,0.000138233,0.00009091324,0.000501543,0.0001915904,0.0001652826,0.0004055803,0.0005189509,0.003992812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003497541,"about_ca_system_score_gemma":0.00002980244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144674,"about_ca_topic_score_gemma":0.000146238,"domain_scores_codex":[0.9976681,0.0004977264,0.0002978141,0.0003845673,0.0007344711,0.0004173246],"domain_scores_gemma":[0.9984688,0.00003279563,0.0002927614,0.0008378702,0.0002765119,0.00009131231],"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":[0.0001130609,0.00004643973,0.00006438818,0.0001401041,0.00007443671,0.000004371366,0.0001165586,0.0005881055,0.001569843,0.00002366428,0.9947925,0.002466507],"study_design_scores_gemma":[0.0002326362,0.0001511674,0.009598901,0.00009676038,0.00005823141,0.00002500834,0.0000726746,0.0005426087,0.0002658342,0.00003309434,0.9887437,0.0001794379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.074306,0.0001097256,0.00003073643,0.0003308058,0.0009252955,0.0008177006,0.9223487,0.00005955128,0.001071537],"genre_scores_gemma":[0.08108027,0.000195123,0.00008147331,0.0002473404,0.0004769297,1.678467e-8,0.9172684,0.000266558,0.0003838806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01476234,"threshold_uncertainty_score":0.9993871,"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."}}