{"id":"W4391328632","doi":"10.2514/6.2024-2542","title":"Lunar PAD Vacuum Flow Visualization Experiment for 3D Lunar and Planetary Landing Pads","year":2024,"lang":"en","type":"article","venue":"","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sierra Wireless (Canada)","funders":"","keywords":"Astrobiology; Visualization; Moon landing; Flow (mathematics); Geology; Spacecraft; Aerospace engineering; Flow visualization; Remote sensing; Computer science; Environmental science; Physics; Engineering; Mechanics","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":[0.0002254282,0.0003337185,0.0002548749,0.0004068187,0.0002732041,0.0004724149,0.0003988616,0.0004164274,0.002580904],"category_scores_gemma":[0.0004646856,0.0002232034,0.0003283028,0.0001698167,0.0002615447,0.0003556842,0.0004429135,0.0004129646,0.0002448705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813379,"about_ca_system_score_gemma":0.0001508953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048405,"about_ca_topic_score_gemma":0.0006863555,"domain_scores_codex":[0.9998742,0.00001291637,0.000007356051,0.00002480315,0.00005262322,0.00002813317],"domain_scores_gemma":[0.9997374,0.00008486019,0.00003319556,0.00004807077,0.00006166361,0.00003470798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004917332,0.0003626895,0.005999513,0.0001064358,0.00002153785,0.0006899402,0.000616105,0.01117623,0.9544201,0.0004418219,0.0006670296,0.02500684],"study_design_scores_gemma":[0.00009157175,0.003637539,0.04524111,0.0000363403,0.00004907511,0.0006006848,0.0007550801,0.05995978,0.8841841,0.0004300319,0.004906665,0.000107999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922821,0.00004177111,0.006063326,0.000032093,0.00002913444,0.00002732098,0.0001533005,0.0004656907,0.0009054354],"genre_scores_gemma":[0.9939101,0.00003301043,0.004978954,0.00002305524,0.000004427843,0.00003065169,0.0001211659,0.00005173581,0.0008469002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002580904,"threshold_uncertainty_score":0.008634031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009845530932485828,"score_gpt":0.2380637750566068,"score_spread":0.228218244124121,"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."}}