{"id":"W4281703924","doi":"10.13167/2022.24.1","title":"FASTEST PATH VEHICLE SPEED ANALYSIS AT STANDARD TURBOROUNDABOUTS WITH VARIOUS APPROACH LEG POSITIONS","year":2022,"lang":"en","type":"article","venue":"Elektronički časopis građevinskog fakulteta Osijek","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Roundabout; Scope (computer science); Path (computing); Computer science; Geometric design; Simulation; Engineering; Mathematics; Geometry; Transport 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683418,0.0004628285,0.0002652181,0.0007678652,0.0001959895,0.0005281458,0.0005398564,0.0002576665,0.0009822475],"category_scores_gemma":[0.0006988288,0.0001812512,0.0004103422,0.0005168961,0.0002484799,0.0005155791,0.0002144935,0.0002028478,0.0002165133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113151,"about_ca_system_score_gemma":0.0005269073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254356,"about_ca_topic_score_gemma":0.008962245,"domain_scores_codex":[0.9997953,0.00003923465,0.000009735507,0.00004209951,0.00008416348,0.00002951248],"domain_scores_gemma":[0.9997314,0.00007187223,0.00004208225,0.0000332984,0.0001106202,0.00001081026],"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":[0.0001769995,0.00004380611,0.01351781,0.0001224194,0.00003214302,0.0002051682,0.0001815564,0.9063562,0.02045664,0.004491638,0.0003273134,0.05408836],"study_design_scores_gemma":[0.000008525007,0.0001221051,0.005651275,0.00000900021,0.00002301638,0.00008020606,0.000127391,0.980773,0.01109318,0.001068922,0.001026138,0.00001725707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6874394,0.0001026604,0.3060644,0.00001667228,0.00001445849,0.0000592686,0.000168402,0.0002005515,0.005934065],"genre_scores_gemma":[0.9724515,0.0001076496,0.02624238,0.000002671301,0.000001834931,0.00002398864,0.000187702,0.0000254304,0.0009568911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005254356,"threshold_uncertainty_score":0.01044756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004702324639288882,"score_gpt":0.1816407791314196,"score_spread":0.1769384544921307,"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."}}