{"id":"W4407734486","doi":"10.5038/jjmu2648","title":"Quantifying Impact of Robot Perception Accuracy at Landmarks in Decision-Making during Complex Situations","year":2024,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Perception; Computer science; Robot; Artificial intelligence; Computer vision; Human–computer interaction; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536562,0.0006040527,0.0004738884,0.0006767787,0.0004716296,0.00141021,0.0005260605,0.0007584341,0.001525878],"category_scores_gemma":[0.02863379,0.0003394671,0.0003878695,0.0005473201,0.0008653215,0.001856241,0.001161253,0.0007791322,0.0002690745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007443541,"about_ca_system_score_gemma":0.001192097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00589325,"about_ca_topic_score_gemma":0.007508346,"domain_scores_codex":[0.9978917,0.0006877111,0.0001153,0.000415669,0.0006204727,0.000269138],"domain_scores_gemma":[0.9777023,0.01683781,0.002068908,0.001523033,0.001184648,0.0006833315],"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":[0.003236993,0.001132927,0.242227,0.00052886,0.000443624,0.0003303634,0.00159873,0.5819057,0.02525761,0.003785342,0.000936031,0.1386168],"study_design_scores_gemma":[0.00006687665,0.003138844,0.2672033,0.0000904188,0.0002004323,0.0002423224,0.001737789,0.7015843,0.01667978,0.00796453,0.0009646135,0.0001267578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654689,0.0002144306,0.03193251,0.000124311,0.00002073863,0.00005852369,0.0001403708,0.000103208,0.001936963],"genre_scores_gemma":[0.9950935,0.00004637266,0.00462279,0.00001298987,0.000004025111,0.00001332651,0.0000660156,0.00001100734,0.00012999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00589325,"threshold_uncertainty_score":0.0134148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09537041312594893,"score_gpt":0.4856782509258805,"score_spread":0.3903078377999316,"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."}}