{"id":"W4309690654","doi":"10.1139/dsa-2021-0051","title":"SOFAR and Auto-link: software tools that bridge the gap between multirotor drone design optimization and CAD","year":2022,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Magellan Aerospace (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Drone; Multirotor; CAD; Software; Computer science; Computer Aided Design; Process (computing); Bridge (graph theory); Key (lock); Component (thermodynamics); Systems engineering; Software engineering; Engineering drawing; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005601855,0.0001481367,0.0002009618,0.00005927149,0.001026016,0.0003293066,0.0003449523,0.0000479831,0.000001522941],"category_scores_gemma":[0.00001750544,0.0001222613,0.0000178403,0.000229008,0.0000813565,0.0002196135,0.0003276194,0.0001656372,0.000002475027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003839914,"about_ca_system_score_gemma":0.00004323814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540372,"about_ca_topic_score_gemma":4.140209e-7,"domain_scores_codex":[0.9987555,0.0001634452,0.0002254389,0.000434365,0.0002122936,0.0002089665],"domain_scores_gemma":[0.9988879,0.0003623954,0.0001578162,0.0004539202,0.00003537829,0.0001025873],"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":[0.00001159436,0.0002070833,0.02913826,0.0004039734,0.0002376284,0.00001725727,0.01063689,0.5717468,0.000772791,0.02788354,0.003479693,0.3554645],"study_design_scores_gemma":[0.0004508602,0.00008241567,0.0289093,0.00002386795,0.00003282683,0.0001146621,0.0002933084,0.9622235,0.00002774687,0.0003330883,0.007206964,0.0003015028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001728824,0.001288081,0.994352,0.000755945,0.00007256264,0.001497104,0.0001230479,0.0001611271,0.0000212497],"genre_scores_gemma":[0.7772152,0.00007717307,0.2181703,0.0001368701,0.0003093795,0.003435664,0.0001071619,0.00003589728,0.0005123651],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7761818,"threshold_uncertainty_score":0.7891387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07797038407992034,"score_gpt":0.2672224981977531,"score_spread":0.1892521141178327,"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."}}