{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003301106,0.0005173007,0.0006300617,0.0006035381,0.0009143794,0.0001934454,0.0005842878,0.00009162444,0.0003191285],"category_scores_gemma":[0.0000078402,0.0005106524,0.0003150856,0.001952487,0.0001289735,0.0003414396,0.0002918027,0.0006188341,0.00003583821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080457,"about_ca_system_score_gemma":0.00005674574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007799491,"about_ca_topic_score_gemma":0.0001488527,"domain_scores_codex":[0.9969267,0.0001422523,0.0005139144,0.0007033683,0.0009188135,0.0007949694],"domain_scores_gemma":[0.9986442,0.0000498634,0.0001271383,0.0008453348,0.00008721279,0.0002462087],"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":[0.0005603366,0.001277892,0.02611747,0.0003625934,0.007940214,0.0002692296,0.00358786,0.8119772,0.004072676,0.014551,0.1142249,0.01505861],"study_design_scores_gemma":[0.006021994,0.002371726,0.04930674,0.0000625805,0.005133321,0.0002374139,0.002189052,0.4733882,0.001704136,0.0002159694,0.4559114,0.003457423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6053324,0.003530334,0.3050082,0.0007374266,0.000976163,0.003008975,0.002053014,0.02327096,0.0560826],"genre_scores_gemma":[0.9924209,0.0001541595,0.004641078,0.0002237071,0.00008864576,0.0002843627,0.0008853338,0.0001202766,0.001181584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870885,"threshold_uncertainty_score":0.9997345,"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."}}