{"id":"W2910777019","doi":"10.2514/6.2019-2097","title":"Systematic Approach to Conceptual Design Selection for Hybrid UAVs using Structured Design Methods","year":2019,"lang":"en","type":"article","venue":"AIAA Scitech 2019 Forum","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Selection (genetic algorithm); Conceptual design; Design methods; Systems engineering; Artificial intelligence; Human–computer interaction; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002072425,0.000295469,0.0004484733,0.0004522842,0.0002908432,0.0003578296,0.0003050912,0.0001071402,0.00004338089],"category_scores_gemma":[0.0003566181,0.0002619147,0.00009235402,0.0008127852,0.00002817369,0.001196639,0.0001190966,0.0001048234,0.0001895866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250627,"about_ca_system_score_gemma":0.00008274066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002532519,"about_ca_topic_score_gemma":0.000001158704,"domain_scores_codex":[0.9980168,0.00009365447,0.0004696925,0.0005615307,0.0003052121,0.0005531374],"domain_scores_gemma":[0.9988617,0.0001290257,0.0003434455,0.00030296,0.0003372261,0.00002559694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002081836,0.0005305327,0.006947864,0.0257743,0.001280749,0.00000301911,0.001640592,0.2931955,0.3434063,0.1057834,0.2034276,0.01592838],"study_design_scores_gemma":[0.002250734,0.0001099041,0.0001847147,0.0009006507,0.0004033606,0.00002732175,0.001361798,0.9348038,0.03960281,0.01284266,0.006066973,0.001445212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009233932,0.00008127651,0.9839672,0.0001701398,0.0009554183,0.004937811,0.000002116961,0.0002306803,0.0004213883],"genre_scores_gemma":[0.3562689,0.00000119302,0.6401464,0.001271267,0.000486225,0.0002636709,0.000069571,0.00009028158,0.001402518],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6416084,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903136142523461,"score_gpt":0.2725051157526635,"score_spread":0.2334737543274288,"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."}}