{"id":"W4392062579","doi":"10.35603/sws.iscss.2023/s14.69","title":"PRACTICAL USE OF THE DRONES IN TRAFFIC ENGINEERING","year":2023,"lang":"en","type":"article","venue":"SWS International Scientific Conference on Social Sciences","topic":"Geodetic Measurements and Engineering Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Drone; Computer science; Aeronautics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004304313,0.00008055491,0.00008246231,0.0001775115,0.0001776696,0.0001553257,0.000336062,0.00003645643,0.00009091046],"category_scores_gemma":[0.0001927796,0.00005922181,0.00004202476,0.0007856694,0.0002048536,0.0001526768,0.00006038921,0.0001107992,0.00001160408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004102829,"about_ca_system_score_gemma":0.00004812876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001520273,"about_ca_topic_score_gemma":0.00006222553,"domain_scores_codex":[0.9988285,0.00001389498,0.0001688429,0.0001650191,0.0006209695,0.000202795],"domain_scores_gemma":[0.9997579,0.00006218866,0.00002707048,0.00007900095,0.00005271954,0.00002115105],"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":[0.00000426221,0.00003166227,0.001683385,0.00002636694,0.00002494424,0.00000328717,0.002120544,0.8850191,0.01984399,0.07566895,0.007681083,0.007892414],"study_design_scores_gemma":[0.0001721583,0.00001393727,0.1366518,0.00009983762,0.000004836254,0.000001836562,0.000370974,0.8454029,0.002343151,0.0008923575,0.01382466,0.0002215599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939539,0.000003315726,0.0001539959,0.001008974,0.003389907,0.00007845285,0.0000124702,0.00008914548,0.001309855],"genre_scores_gemma":[0.9994769,0.000005129296,0.0002383117,0.000007904675,0.00004561053,0.000006939869,0.000002153032,0.00000458043,0.0002124464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349684,"threshold_uncertainty_score":0.2414995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1697146107008917,"score_gpt":0.3343729586106662,"score_spread":0.1646583479097746,"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."}}