{"id":"W2314969314","doi":"10.2514/6.2013-1278","title":"ExoMars EDM Parachute System: Update on Design and Verification","year":2013,"lang":"en","type":"article","venue":"","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Glenn Research Center","keywords":"Computer science; Systems engineering; Aerospace engineering; Astrobiology; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005768226,0.001185086,0.0006731825,0.001079457,0.0005929334,0.001762408,0.003551625,0.0008524395,0.02684166],"category_scores_gemma":[0.005637823,0.0007326911,0.0007980654,0.0005177927,0.0008262211,0.002548014,0.001698793,0.001513016,0.009389583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108313,"about_ca_system_score_gemma":0.002515817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002955687,"about_ca_topic_score_gemma":0.003780755,"domain_scores_codex":[0.9964958,0.0006575219,0.0001871782,0.0002450034,0.002156174,0.0002582808],"domain_scores_gemma":[0.9954456,0.0006099992,0.0003044788,0.001538154,0.001989617,0.0001121842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002155932,0.000733802,0.01008432,0.001758939,0.0003659077,0.0008677749,0.0006953344,0.1444069,0.06750705,0.04398128,0.1100375,0.6174053],"study_design_scores_gemma":[0.0005570722,0.001054552,0.003219171,0.0004488154,0.0001566076,0.0005733775,0.0001610861,0.2693828,0.1437237,0.007156787,0.5734184,0.0001475856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05185223,0.002103687,0.8149477,0.0006549964,0.0005668674,0.0008373179,0.005431507,0.06274828,0.06085739],"genre_scores_gemma":[0.3853337,0.001503423,0.5121206,0.0006620642,0.0002342174,0.001271286,0.01785528,0.01249296,0.06852648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02684166,"threshold_uncertainty_score":0.08979434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006651944797297269,"score_gpt":0.1524094914297233,"score_spread":0.1457575466324261,"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."}}