{"id":"W3049002765","doi":"10.1155/2020/8935692","title":"Model Contrast of Autonomous Vehicle Impacts on Traffic","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wisconsin Department of Transportation; Florida Department of Transportation; U.S. Department of Transportation","keywords":"Software deployment; Geospatial analysis; Transport engineering; Range (aeronautics); Traffic congestion; Work (physics); Computer science; Transit (satellite); Vehicle miles of travel; Contrast (vision); Operations research; Engineering; Public transport; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005712855,0.00009905075,0.0002108695,0.00008564095,0.00001745968,0.000004752962,0.00007086139,0.00004443459,0.00001667062],"category_scores_gemma":[0.00001258655,0.00009798804,0.00009866349,0.0002207659,0.00001938093,0.0002739712,1.601501e-7,0.0001711925,0.00000168815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002671726,"about_ca_system_score_gemma":0.0000512424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.18222e-7,"about_ca_topic_score_gemma":0.00001697149,"domain_scores_codex":[0.9990116,0.000004770302,0.0006299719,0.00006687873,0.0001856171,0.0001011168],"domain_scores_gemma":[0.9994695,0.00002541651,0.0001755924,0.0000592137,0.0001714307,0.00009883819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001159996,0.0000438381,0.0001376339,0.0000636056,0.00003348211,0.000004663756,0.002734252,0.9075994,0.08459853,0.0006220975,0.00003844398,0.004007996],"study_design_scores_gemma":[0.009682038,0.001822871,0.4825356,0.0003452667,0.0003291679,0.000007073364,0.002329015,0.3786527,0.1214381,0.0006029057,0.001554594,0.0007007198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770424,0.00006511886,0.02213608,0.0003365072,0.0001186743,0.0001033516,0.00005935883,0.00005668098,0.00008179136],"genre_scores_gemma":[0.9963655,0.00005761994,0.003358144,0.0001368641,0.00003423535,0.000002014568,0.00002535345,0.00001794795,0.000002289378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5289468,"threshold_uncertainty_score":0.3995836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534472250992111,"score_gpt":0.2382145148313942,"score_spread":0.2228697923214731,"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."}}