{"id":"W4388702903","doi":"10.3390/aerospace10110960","title":"Data Downloaded via Parachute from a NASA Super-Pressure Balloon","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada); Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Durham University; Royal Society; Canadian Institute for Advanced Research; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Telescope; Balloon; Descent (aeronautics); Stratosphere; Geology; Meteorology; Physics; Remote sensing; Astronomy; Geodesy; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002052729,0.0003200154,0.0003383453,0.00007269801,0.00008471995,0.0000849073,0.0007499838,0.0002123788,0.00008334066],"category_scores_gemma":[0.00003957024,0.0003261135,0.00006327039,0.0005118363,0.00002972117,0.0003123178,0.0002333286,0.0002959039,0.001585858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003665641,"about_ca_system_score_gemma":0.00001232348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007302336,"about_ca_topic_score_gemma":0.0002941499,"domain_scores_codex":[0.9983876,0.00002805412,0.0002344876,0.0004710246,0.0003075371,0.0005712674],"domain_scores_gemma":[0.9981678,0.0001012488,0.00002638687,0.001497157,0.00002246618,0.0001849562],"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":[0.00001121705,0.00001934829,0.002820129,0.0001343651,0.0004604319,0.00007686586,0.0008246536,0.5705097,0.06747594,0.0001350845,0.3561598,0.001372415],"study_design_scores_gemma":[0.0005940492,0.00002263892,0.006774805,0.00009616603,0.0000814775,0.000009432449,0.0002162984,0.6300662,0.003563209,0.00003565209,0.35781,0.0007301334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129934,0.008036353,0.04545238,0.001443154,0.007651047,0.0005561759,0.002040273,0.01679258,0.005034681],"genre_scores_gemma":[0.9927022,0.0001926132,0.0008027,0.00003058104,0.000477949,0.00003545854,0.0009897742,0.0001143317,0.004654426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07970881,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361713346964357,"score_gpt":0.2184545137813567,"score_spread":0.1948373803117132,"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."}}