{"id":"W4317597275","doi":"10.2514/6.2023-1165","title":"DAVINCI Venus Entry, Descent, and Landing Modeling and Simulation","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Venus; Aerospace engineering; Spacecraft; Descent (aeronautics); Astrobiology; Computer science; Flight simulator; Aerospace; Aircraft flight mechanics; Aerodynamics; Aeronautics; Engineering; Physics","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":[0.000325153,0.0008000889,0.0006083351,0.0006262476,0.0008665918,0.001154086,0.001530366,0.001130771,0.01333949],"category_scores_gemma":[0.0007916613,0.000398032,0.0008386784,0.0004620932,0.0003735144,0.0006755756,0.0009033275,0.001269265,0.002042404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009949853,"about_ca_system_score_gemma":0.001543133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04903264,"about_ca_topic_score_gemma":0.03124955,"domain_scores_codex":[0.999862,0.00002404002,0.000006154458,0.00002193175,0.00005471908,0.00003112666],"domain_scores_gemma":[0.9996933,0.0001025847,0.00001953875,0.00002637582,0.0001015025,0.00005666194],"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":[0.00006267867,0.00006234868,0.003083792,0.00006854458,0.00002722,0.00007241809,0.0000478158,0.9800991,0.0007563606,0.003695475,0.007674639,0.004349574],"study_design_scores_gemma":[0.00003554323,0.00002153774,0.0005391043,0.00001361263,0.000006754122,0.00001564237,0.00002780704,0.9921251,0.0003572467,0.0007783332,0.006069095,0.00001031773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3768766,0.001530431,0.2268687,0.002694404,0.0009549436,0.001236157,0.04993989,0.01133792,0.328561],"genre_scores_gemma":[0.8664689,0.0008101467,0.07974856,0.0003592184,0.0001467062,0.001118559,0.02144524,0.001379112,0.02852355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04903264,"threshold_uncertainty_score":0.09749448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804739059147939,"score_gpt":0.2535112974658559,"score_spread":0.2354639068743765,"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."}}