{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001336652,0.00007954151,0.00007850528,0.00006453407,0.0001990359,0.00006594756,0.0000628914,0.0000220278,0.00003417718],"category_scores_gemma":[0.000004979446,0.00007575421,0.00001627399,0.0002032778,0.00002514263,0.0001740045,0.00007643941,0.00007751073,0.0000501851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004887717,"about_ca_system_score_gemma":0.00001085389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688641,"about_ca_topic_score_gemma":0.000009949546,"domain_scores_codex":[0.9993554,0.00001065836,0.00009156969,0.0001881629,0.0001028434,0.000251369],"domain_scores_gemma":[0.9997559,0.00005005535,0.00002752675,0.00008663119,0.0000109547,0.00006889099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001383037,0.00001181388,0.8077332,0.00001532476,0.00002078869,0.000006050913,0.0003247227,0.1231604,0.001539647,0.001228664,0.0008659392,0.06507957],"study_design_scores_gemma":[0.0001694423,0.00002002636,0.0134709,0.00002415071,0.000006900749,7.999162e-7,0.0003557483,0.9824709,0.00004217473,0.001754255,0.001583911,0.0001007296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777045,0.00006155413,0.02079841,0.000212665,0.0001195662,0.00009881937,0.00005039436,0.00005019014,0.0009039082],"genre_scores_gemma":[0.9992508,0.00000829776,0.0002011314,0.00002275699,0.0000807754,0.000002701412,0.00008254249,0.000005946754,0.0003449918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8593106,"threshold_uncertainty_score":0.3089167,"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."}}