{"id":"W4403990666","doi":"10.1016/j.mlwa.2024.100599","title":"Moral decision making: Explainable insights into the role of working memory in autonomous driving","year":2024,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Working memory; Cognitive psychology; Social psychology; Cognition; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000200875,0.0001133118,0.0001155731,0.0001707989,0.0002972407,0.00005188342,0.0002899094,0.0000409734,0.00003395603],"category_scores_gemma":[0.00005705784,0.00007453866,0.00003513266,0.0006380486,0.0001211911,0.00009052154,0.00009445152,0.0004224142,0.00005200562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005621199,"about_ca_system_score_gemma":0.00003467658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005725964,"about_ca_topic_score_gemma":0.00009025361,"domain_scores_codex":[0.9989637,0.00008336436,0.0002075522,0.0003653443,0.000202104,0.0001779464],"domain_scores_gemma":[0.9992389,0.0004283057,0.00006829364,0.000218517,0.0000138599,0.00003210342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001155453,0.0003337743,0.07169808,0.00005714584,0.00002127571,0.00004529033,0.008903164,0.09368773,0.04273403,0.1466771,0.00008537513,0.6356415],"study_design_scores_gemma":[0.0009128333,0.000379041,0.06446205,0.00122151,0.00005577494,0.0001542618,0.001748312,0.4036741,0.0182653,0.1993977,0.3089829,0.0007461347],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648999,0.001922893,0.01449984,0.001712473,0.00009156214,0.0005112792,7.387577e-7,0.0001968234,0.01616449],"genre_scores_gemma":[0.9972989,0.00003406086,0.001925912,0.0001407773,0.00004976268,0.0002113897,0.000003098702,0.0000175236,0.0003185626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6348954,"threshold_uncertainty_score":0.3039598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203176609543295,"score_gpt":0.273351547482413,"score_spread":0.24131978138698,"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."}}