{"id":"W4285300724","doi":"10.5267/j.esm.2022.3.003","title":"Optimal design of four stage launch vehicle considering multi objective NSGA II algorithm and mass-energetic concepts","year":2022,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerospace; Context (archaeology); Launch vehicle; Systems engineering; Technology readiness level; Rocket (weapon); Propulsion; Optimal design; Computer science; Manufacturing engineering; Engineering; Automotive engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003098075,0.0002775149,0.0003909639,0.0002473251,0.0001365598,0.00001474739,0.00019552,0.0001297059,0.00007747684],"category_scores_gemma":[0.00007757153,0.000349332,0.00006056771,0.0003024026,0.00002251665,0.00008454045,0.000192152,0.0004761425,0.000002526313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517067,"about_ca_system_score_gemma":0.00003468221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006324621,"about_ca_topic_score_gemma":5.174775e-7,"domain_scores_codex":[0.9987237,0.00003996351,0.0002948282,0.000280692,0.000211146,0.0004496913],"domain_scores_gemma":[0.999411,0.0001245442,0.00005470579,0.0002721036,0.00004030828,0.00009727328],"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":[0.000005616896,0.00001770509,0.000003480874,0.00004847618,0.00008719961,0.00005161191,0.0004366847,0.820411,0.1765387,0.001361851,0.00002609324,0.001011575],"study_design_scores_gemma":[0.0006630569,0.0002110665,0.000004990262,0.00001696582,0.000022235,0.00004624851,0.0004030365,0.8756786,0.1214938,0.0001285618,0.001029999,0.0003014028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03510694,0.001162305,0.9620401,0.00001521557,0.0005553941,0.000307562,0.00004194165,0.0007526833,0.00001791545],"genre_scores_gemma":[0.7976291,0.00009417829,0.2018967,0.00001148062,0.00002832825,0.0001121393,0.000003721781,0.00009397123,0.0001303723],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7625222,"threshold_uncertainty_score":0.9998959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539646441188806,"score_gpt":0.2216795154826324,"score_spread":0.2062830510707443,"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."}}