{"id":"W2799893902","doi":"10.1117/12.2303014","title":"DRESH: DRone EnSnaring mesH","year":2018,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Drone; Obstacle; Computer science; Aeronautics; Notional amount; Systems engineering; Aerospace engineering; Control engineering; Engineering; Simulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002064322,0.0000827337,0.00008986409,0.0000612013,0.0001095909,0.000102286,0.000724273,0.00003674836,0.0000577824],"category_scores_gemma":[0.000034523,0.00007200838,0.00002391762,0.0002321534,0.00005299221,0.0002641012,0.0002801158,0.00007008184,0.0009854253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002027358,"about_ca_system_score_gemma":0.00002987931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003469786,"about_ca_topic_score_gemma":0.000002120095,"domain_scores_codex":[0.9991009,0.00002183542,0.0001191166,0.0002857615,0.0002019505,0.0002703906],"domain_scores_gemma":[0.9992538,0.00004417747,0.0000302926,0.0005300468,0.00005710035,0.00008459817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008576952,0.0002425314,0.0124745,0.00002481648,0.0001183923,0.0003434241,0.009475416,0.0006077765,0.009934892,0.6295718,0.1175594,0.2196385],"study_design_scores_gemma":[0.0004361816,0.0002529806,0.01302866,0.00003123647,0.000005119316,0.0001148264,0.00004119712,0.9550174,0.01752117,0.005046397,0.00806398,0.0004408189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003487981,0.00001294921,0.9292302,0.0006575034,0.0006362068,0.00004536707,1.605536e-7,0.0004250554,0.06550456],"genre_scores_gemma":[0.3329893,7.322164e-7,0.6618525,0.0005092842,0.0002291837,0.000002571757,3.999763e-7,0.000005807668,0.004410189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9544097,"threshold_uncertainty_score":0.9997924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965874536530586,"score_gpt":0.2553516366605523,"score_spread":0.2356928912952465,"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."}}