{"id":"W3121342376","doi":"10.5539/cis.v14n1p45","title":"Efficient Object Detection Model for Real-time UAV Application","year":2021,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Object detection; Artificial intelligence; Object (grammar); Inference; Pyramid (geometry); Computer vision; Architecture; Feature (linguistics); Real-time computing; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001525989,0.00005113844,0.00005171931,0.00009274359,0.0001398144,0.0001292804,0.00005235323,0.00002382609,9.676351e-7],"category_scores_gemma":[0.00001010262,0.00005132514,0.00001444915,0.0003005313,0.00003151446,0.0005410325,0.00001841008,0.00002277215,0.00001156229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003804831,"about_ca_system_score_gemma":0.00003092731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001117677,"about_ca_topic_score_gemma":3.40602e-7,"domain_scores_codex":[0.9995421,0.000002773348,0.0001487011,0.0000789755,0.0001257506,0.0001017213],"domain_scores_gemma":[0.9996262,0.00001447692,0.00002348597,0.0001005614,0.0001929702,0.00004232321],"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":[9.545987e-7,0.000002272203,0.000002341979,0.00001907529,7.52049e-7,1.531813e-8,0.0002750754,0.9598799,0.00734033,0.001267869,0.00004543082,0.03116597],"study_design_scores_gemma":[0.0001147799,0.000009813213,0.0002874634,0.00000474591,0.000002073141,0.000002846371,0.00001005925,0.9905746,0.008468271,0.00007049851,0.0003893503,0.00006548998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04490923,0.000005615909,0.9539521,0.00002312999,0.000116196,0.0001189073,0.000003071124,0.00009116351,0.0007806152],"genre_scores_gemma":[0.9760416,0.0000218915,0.02376926,0.0000949374,0.0000283087,0.00001143921,0.0000209107,0.000003243046,0.000008378712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9311324,"threshold_uncertainty_score":0.2092979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006818921534970294,"score_gpt":0.2063567555847396,"score_spread":0.1995378340497694,"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."}}