{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01569256,0.002495551,0.001460549,0.005237597,0.001627274,0.003185686,0.002437589,0.001308822,0.007163874],"category_scores_gemma":[0.02864463,0.001781646,0.003209712,0.001728517,0.0019098,0.002358322,0.003146142,0.002471332,0.0008392248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002550617,"about_ca_system_score_gemma":0.006576384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002628839,"about_ca_topic_score_gemma":0.005759211,"domain_scores_codex":[0.9802459,0.01391577,0.001067322,0.0008570513,0.003476733,0.0004371929],"domain_scores_gemma":[0.9723976,0.01928462,0.001105904,0.002103733,0.004813184,0.0002949631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004016783,0.00112985,0.004637366,0.004105627,0.0006488302,0.0005955602,0.005814227,0.2895136,0.02162065,0.1304431,0.00441738,0.5366721],"study_design_scores_gemma":[0.0005011548,0.001560028,0.001663254,0.001628826,0.0005496856,0.0004086453,0.004047078,0.8246686,0.01658304,0.1202573,0.02797661,0.0001557333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006520585,0.0001306456,0.9895688,0.00008661614,0.00001379451,0.000814868,0.0001086912,0.0002605195,0.002495601],"genre_scores_gemma":[0.0375727,0.00007692394,0.9607282,0.00003489216,0.000004387764,0.0008968709,0.0002121123,0.00007024802,0.0004036127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01569256,"threshold_uncertainty_score":0.08299118,"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."}}