{"id":"W6976834026","doi":"10.60692/f28v1-48341","title":"Test bed for applications of heterogeneous unmanned vehicles","year":2017,"lang":"en","type":"article","venue":"Greater South Information System","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Firmware; Drone; Software; Unmanned ground vehicle; Robotics; Track (disk drive); Test (biology); Flight test","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008584102,0.00009236649,0.0001289424,0.00009236233,0.0002589647,0.0001182732,0.000206304,0.00006696373,0.000003593663],"category_scores_gemma":[0.00001070315,0.00008849268,0.0000484959,0.00005298478,0.00002238251,0.0003316818,0.00001943057,0.00002497308,0.00007716053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000357035,"about_ca_system_score_gemma":0.000007292133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002465023,"about_ca_topic_score_gemma":2.630569e-7,"domain_scores_codex":[0.9993813,0.000002957059,0.0003589855,0.0000642506,0.00008190385,0.000110575],"domain_scores_gemma":[0.9991022,0.000008435803,0.0002014474,0.0004973839,0.0001532929,0.00003723841],"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":[0.0001527994,0.0000501624,0.2847134,0.01226708,0.0006544566,9.898234e-7,0.08361316,0.5451413,0.0008744271,0.01622187,0.002119283,0.05419094],"study_design_scores_gemma":[0.002316103,0.00008051832,0.02684274,0.0001444129,0.0001076702,0.00001911532,0.002519252,0.9222486,0.03879745,0.00003335059,0.006298413,0.0005923614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1325874,0.000005870627,0.8621122,0.0000247585,0.0001124204,0.001200295,0.0004212574,0.0003449977,0.003190771],"genre_scores_gemma":[0.9965397,3.965466e-7,0.002638652,0.000007728732,0.00004543337,0.0006735921,0.0000489229,0.00001242323,0.000033205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8639522,"threshold_uncertainty_score":0.3608627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863899579985549,"score_gpt":0.2038150940604235,"score_spread":0.185176098260568,"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."}}