{"id":"W2329540195","doi":"10.2514/6.2008-7921","title":"Exploration Development Lab: Industry Investments Supporting Constellation Risk Reduction","year":2008,"lang":"en","type":"article","venue":"","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Constellation; Reduction (mathematics); Computer science; Business; Risk analysis (engineering); Mathematics","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":[0.006239364,0.001044467,0.0002605784,0.00276746,0.001429891,0.002787307,0.001652023,0.001042847,0.03773356],"category_scores_gemma":[0.006135733,0.000498935,0.000365121,0.001611562,0.001075577,0.003308008,0.003793244,0.002083573,0.007689652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317112,"about_ca_system_score_gemma":0.007035627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00332825,"about_ca_topic_score_gemma":0.001935647,"domain_scores_codex":[0.997086,0.0006996784,0.00008212182,0.0003028139,0.001329236,0.000500205],"domain_scores_gemma":[0.9891683,0.001986534,0.0008530517,0.002000266,0.002978123,0.003013733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001053255,0.00105166,0.01360108,0.0004671125,0.00009441708,0.000769521,0.00133499,0.005138204,0.03211303,0.04639317,0.1473748,0.7506089],"study_design_scores_gemma":[0.0003292302,0.002012493,0.01799865,0.0001494613,0.00007202658,0.001212418,0.0006041315,0.008949123,0.033699,0.004840296,0.9300529,0.00008035728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1503062,0.01062997,0.2442028,0.02268749,0.001451818,0.001551211,0.006751376,0.04472198,0.5176972],"genre_scores_gemma":[0.7137394,0.004034722,0.1357176,0.00230254,0.000594436,0.0005979686,0.01411196,0.003213592,0.1256877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03773356,"threshold_uncertainty_score":0.1262313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197088178283496,"score_gpt":0.2182798015831921,"score_spread":0.1863089198003571,"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."}}