{"id":"W4313555044","doi":"10.1109/tiv.2023.3234253","title":"Formulating Vehicle Aggressiveness Towards Social Cognitive Autonomous Driving","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Perspective (graphical); Cognition; Computer science; Hazard; Focus (optics); Motion (physics); Conceptual model; Collision; Simulation; Artificial intelligence; Psychology; Computer security","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":[0.0002197611,0.0003183706,0.0003113536,0.0003822323,0.0006431292,0.00004874967,0.0002559636,0.0003313562,0.0001440983],"category_scores_gemma":[0.00001022011,0.0003475122,0.0002129283,0.0006680153,0.0001523128,0.0002062765,0.000005550864,0.0006390702,0.0007144835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885833,"about_ca_system_score_gemma":0.00004557196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002540752,"about_ca_topic_score_gemma":0.00004032036,"domain_scores_codex":[0.9983424,0.00004714948,0.00043191,0.0003462827,0.0002319622,0.0006002925],"domain_scores_gemma":[0.9994031,0.0001737283,0.0000642975,0.0001939151,0.00007159979,0.00009333414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005806065,0.000101108,0.0001987521,0.00007163512,0.0002517898,0.00004950068,0.001908841,0.1233822,0.00667642,0.0002347263,0.00009915759,0.8669679],"study_design_scores_gemma":[0.00063006,0.0001506302,0.007624445,0.0002341218,0.0001045196,0.0000191637,0.001613501,0.3744831,0.6126159,0.001120223,0.0006210896,0.0007832343],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373523,0.00004937503,0.257682,0.000152326,0.0005659082,0.0002372061,0.0000490659,0.003141804,0.0007701055],"genre_scores_gemma":[0.9990648,0.0001571523,0.0001216123,0.0000560466,0.00008945492,0.0001336739,0.00001108615,0.00008788543,0.0002782605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8661846,"threshold_uncertainty_score":0.9998977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323955149143908,"score_gpt":0.2635297275746575,"score_spread":0.2402901760832184,"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."}}