{"id":"W4387938727","doi":"10.5539/mas.v17n2p49","title":"Develop and Design Small Scale UAV","year":2023,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknikal Malaysia Melaka; Ministry of Education, India","keywords":"Quadcopter; Arduino; Computer science; Controller (irrigation); Scale (ratio); DC motor; Transmitter; Simulation; Computer hardware; Embedded system; Channel (broadcasting); Electrical engineering; Telecommunications; Engineering; Aerospace 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":[0.0001552063,0.0005310729,0.0002988025,0.0004066194,0.000276951,0.0004758362,0.0005420331,0.000397262,0.005322038],"category_scores_gemma":[0.000368567,0.0002438293,0.0004085762,0.0001726809,0.0001822823,0.00048942,0.0004119091,0.0003333322,0.002036899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003210271,"about_ca_system_score_gemma":0.0003625268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148741,"about_ca_topic_score_gemma":0.001204738,"domain_scores_codex":[0.9998345,0.00001572491,0.000008149642,0.00004242388,0.00007332013,0.0000259351],"domain_scores_gemma":[0.9998664,0.00002109091,0.00002155426,0.00001980257,0.00005619471,0.00001501566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001789678,0.0001556163,0.004364379,0.002049666,0.00006437404,0.001183513,0.0005767665,0.08729087,0.4179381,0.03075654,0.01292964,0.4425115],"study_design_scores_gemma":[0.0002202753,0.004313497,0.01041666,0.0004333631,0.0001485196,0.002489698,0.0005758923,0.3510526,0.1768986,0.01000548,0.443329,0.0001163152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05590549,0.001798442,0.891654,0.0002429116,0.000328189,0.0009910316,0.000239189,0.002265648,0.04657516],"genre_scores_gemma":[0.4603836,0.001987055,0.5108942,0.0001844027,0.00007947278,0.0008553725,0.0004812735,0.0002589049,0.02487563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005322038,"threshold_uncertainty_score":0.01780397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05181587226475497,"score_gpt":0.2494608317106244,"score_spread":0.1976449594458694,"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."}}