{"id":"W100502903","doi":"10.26077/ry9p-qs64","title":"An Efficient Approach to Subsystem Design: Autonomous GNC - A Case Study","year":2025,"lang":"en","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Space Agency","funders":"","keywords":"Computer science; Systems engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001061882,0.0005263441,0.0003160184,0.0005454526,0.001079628,0.001060701,0.000971554,0.001451074,0.004537458],"category_scores_gemma":[0.002228403,0.0002631861,0.0004770133,0.000933517,0.0008825602,0.0006972515,0.0009220524,0.0006348644,0.0005389921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905464,"about_ca_system_score_gemma":0.002257054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01693654,"about_ca_topic_score_gemma":0.02386218,"domain_scores_codex":[0.9988555,0.0005649782,0.00003263922,0.000089714,0.0003221731,0.0001350308],"domain_scores_gemma":[0.9991872,0.0003802422,0.00004665451,0.0001433857,0.000164856,0.00007761916],"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":[0.0002592212,0.0003947245,0.005449693,0.000464383,0.00004426348,0.002512845,0.0009750561,0.7519921,0.01051414,0.05377933,0.005617277,0.1679969],"study_design_scores_gemma":[0.0001638625,0.0007493545,0.002198528,0.00006430333,0.00004925059,0.001034737,0.001041489,0.9074801,0.01208917,0.0147448,0.06034575,0.0000385326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4452396,0.001040545,0.4489715,0.001278801,0.00007875945,0.001216407,0.000345232,0.001429645,0.1003994],"genre_scores_gemma":[0.7650415,0.000505331,0.2184466,0.0001034342,0.00001881443,0.0003468913,0.0002528693,0.0001307582,0.01515388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01693654,"threshold_uncertainty_score":0.03367591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484563505090619,"score_gpt":0.2431801434420964,"score_spread":0.2183345083911902,"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."}}