{"id":"W3200731348","doi":"10.1609/aaai.v36i5.20452","title":"Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior","year":2022,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bounded rationality; Computer science; Satisficing; Hierarchy; Population; Bounded function; Game theory; Artificial intelligence; Management science; Mathematical economics; Mathematics; Engineering; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008231104,0.0002353069,0.0002687193,0.0002243558,0.000851144,0.0003084394,0.002297008,0.00004476392,0.00007247776],"category_scores_gemma":[0.0001685158,0.0002015209,0.0001955061,0.000939702,0.0002721594,0.0006689275,0.0009328693,0.0003458344,0.00001023804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009428592,"about_ca_system_score_gemma":0.000239189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002566267,"about_ca_topic_score_gemma":0.00001242617,"domain_scores_codex":[0.9975761,0.00003526774,0.0004898337,0.0007113008,0.0006843089,0.0005031623],"domain_scores_gemma":[0.9982949,0.0001681933,0.0003793401,0.0002182159,0.0008396939,0.00009961572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004988415,0.0001900692,0.00003876554,0.00001680469,0.00001249456,8.626219e-7,0.001528777,0.000397113,0.04096706,0.9015975,0.00001841852,0.05518226],"study_design_scores_gemma":[0.0000625891,0.0003086875,0.00004883265,0.00007447971,0.00002271806,0.000007915615,0.002679184,0.4951407,0.04560255,0.4557879,0.0000183955,0.0002460604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530004,0.00003782922,0.234724,0.002431128,0.0008291229,0.001910576,0.00005162163,0.0001631924,0.006852151],"genre_scores_gemma":[0.9952148,0.0000156401,0.003496803,0.0003114974,0.00003047607,0.0005930145,0.000002277148,0.00001388261,0.000321578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4947436,"threshold_uncertainty_score":0.8217782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370598135374808,"score_gpt":0.3292617432872713,"score_spread":0.1922019297497905,"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."}}