{"id":"W773169382","doi":"","title":"Maui Analysis of Upper Atmospheric Injections","year":2008,"lang":"en","type":"article","venue":"NASA STI Repository (National Aeronautics and Space Administration)","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Santé et des Services sociaux","keywords":"Space Shuttle; Atmosphere (unit); Spacecraft; Twilight; Meteorology; Sky; Environmental science; Remote sensing; Plume; Astrobiology; Space (punctuation); Geology; Astronomy; Physics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006174975,0.0001362602,0.0002169183,0.0001092517,0.0001736506,0.00001851846,0.00007566712,0.0001365261,0.00004633926],"category_scores_gemma":[0.00003235104,0.0001450123,0.00008600072,0.0006686073,0.0001462052,0.0001015,0.00001443715,0.0001270162,0.000003845312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006762715,"about_ca_system_score_gemma":0.0001146603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001186632,"about_ca_topic_score_gemma":0.00003154889,"domain_scores_codex":[0.9991056,0.00001586516,0.000277882,0.0001771676,0.0002895207,0.0001340193],"domain_scores_gemma":[0.9994613,0.00008152275,0.00006654507,0.000146881,0.0001747039,0.00006902745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001210186,0.0007134518,0.5487221,0.0001528059,0.005560521,0.000129097,0.0009611595,0.08726193,0.06816625,0.2810007,0.005954255,0.001256729],"study_design_scores_gemma":[0.0004249754,0.0002506821,0.7933384,0.00001103828,0.0004729887,0.0002801303,0.0001222626,0.1890218,0.008003573,0.0007010922,0.006984423,0.0003886123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744797,0.000337132,0.01261397,0.0002703282,0.0002106,0.0001130495,0.00002019693,0.0001934772,0.01176155],"genre_scores_gemma":[0.9928893,0.00009244588,0.00570037,0.00002335016,0.00004098665,0.00001680868,0.00003254825,0.00001383589,0.00119037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802996,"threshold_uncertainty_score":0.591343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088778288269386,"score_gpt":0.2190834776111983,"score_spread":0.2081956947285045,"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."}}