{"id":"W2910718208","doi":"10.1139/juvs-2017-0023","title":"A low-altitude unmanned aerial vehicle (UAV) created using 3D-printed bioplastic","year":2019,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Louisiana Space Consortium","keywords":"Quadcopter; Flexibility (engineering); Airframe; Drone; Bioplastic; 3d printed; Computer science; Systems engineering; Bridge (graph theory); Engineering; Aeronautics; Automotive engineering; Aerospace engineering; Manufacturing engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002272069,0.0002506316,0.0001580023,0.0002731268,0.000296606,0.0006714778,0.0003265681,0.0005070002,0.001557069],"category_scores_gemma":[0.0002920709,0.0001532526,0.0002936429,0.0001476919,0.0002962408,0.0003888473,0.0003321974,0.0003441787,0.0004984627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309595,"about_ca_system_score_gemma":0.0002454841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003934492,"about_ca_topic_score_gemma":0.0008227595,"domain_scores_codex":[0.9997889,0.00002140125,0.00001130034,0.00003274927,0.0001272134,0.00001848235],"domain_scores_gemma":[0.9997671,0.00005234067,0.00003547912,0.0000517445,0.00006839693,0.00002488337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006221508,0.00004890788,0.001118829,0.0003103496,0.00001527376,0.001087916,0.0002263962,0.01430647,0.9241088,0.003011019,0.0009406268,0.0547631],"study_design_scores_gemma":[0.00002756918,0.001389466,0.005987444,0.00009139166,0.00005522322,0.00270589,0.0003594201,0.05497348,0.8630769,0.0009929107,0.07025899,0.0000811827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5686191,0.001326773,0.3962797,0.0003519035,0.0006756415,0.0003159171,0.0003524677,0.001799306,0.03027927],"genre_scores_gemma":[0.7395428,0.0005886173,0.2457301,0.0001036214,0.00002452682,0.00009691881,0.0002473452,0.0001234177,0.01354263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001557069,"threshold_uncertainty_score":0.005208969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275451658008665,"score_gpt":0.2221846131067826,"score_spread":0.2094300965266959,"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."}}