{"id":"W4362512891","doi":"10.22215/etd/2022-15342","title":"Examining Driver Behaviour at Freeway Ramp Terminals Based on Trajectory Data Collected Using Unmanned Aerial Vehicles and Video Image Processing","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Platoon; Acceleration; Trajectory; Computer science; Simulation; Artificial intelligence; Computer vision; Real-time computing; Engineering; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001232585,0.0002483439,0.0001330701,0.0008087002,0.0001367449,0.000248675,0.0001747505,0.0001632348,0.0004098512],"category_scores_gemma":[0.0004679677,0.00008612088,0.000171203,0.0005054725,0.00009745113,0.0003065483,0.0001908605,0.0001344291,0.0001629922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031215,"about_ca_system_score_gemma":0.000193113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009275586,"about_ca_topic_score_gemma":0.02075577,"domain_scores_codex":[0.9998689,0.00001730879,0.000007460061,0.00003829729,0.00004555326,0.00002245104],"domain_scores_gemma":[0.9997846,0.00003524761,0.00005737907,0.00001876009,0.00008228976,0.0000217749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003697367,0.0002697427,0.7543967,0.0002786206,0.000188971,0.0008708651,0.001688623,0.03447773,0.05306428,0.0005812258,0.001816953,0.1519966],"study_design_scores_gemma":[0.000007822654,0.0002980263,0.9158464,0.00003164778,0.00004965939,0.0002334813,0.001795468,0.07052439,0.009450756,0.0001530706,0.001582681,0.00002669579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959197,0.00005013035,0.00274168,0.00001248919,0.000005093127,0.00002132241,0.0005405291,0.00004878193,0.0006602736],"genre_scores_gemma":[0.9945695,0.00007298636,0.003937327,0.000005936276,0.000002975942,0.00001559278,0.001078639,0.000005286782,0.0003116683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009275586,"threshold_uncertainty_score":0.01844317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028330360484069,"score_gpt":0.265542190657398,"score_spread":0.2352588870525573,"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."}}