{"id":"W4394686746","doi":"10.1080/1463922x.2024.2337681","title":"Reviewing linkages between display design and cognitive biases in decision making: an emergency response perspective","year":2024,"lang":"en","type":"article","venue":"Theoretical Issues in Ergonomics Science","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Perspective (graphical); Cognition; Emergency response; Cognitive psychology; Psychology; Cognitive bias; Cognitive science; Computer science; Artificial intelligence; Medical emergency; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004800318,0.0001535235,0.0002375778,0.0005550906,0.0001220461,0.0001382181,0.0002946926,0.00008439263,0.001606761],"category_scores_gemma":[0.004387755,0.0001355308,0.00003591983,0.0006969019,0.001051045,0.0004531068,0.0001096222,0.0003145628,0.0001724451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048338,"about_ca_system_score_gemma":0.0000791736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001683837,"about_ca_topic_score_gemma":0.000006324287,"domain_scores_codex":[0.9976436,0.0007320249,0.0004641094,0.0006546373,0.0001659551,0.000339617],"domain_scores_gemma":[0.9951652,0.004356035,0.00004978309,0.0002282083,0.0000866265,0.000114124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008317204,0.0001042278,0.002900504,0.00001050592,0.00001205428,0.0000565924,0.03760822,0.000150721,0.0003147542,0.9296842,0.00004389267,0.0282826],"study_design_scores_gemma":[0.0007246989,0.000797296,0.5361193,0.003426962,0.00005782894,0.00005068982,0.02277122,0.09203766,0.0006659126,0.342062,0.0005035292,0.0007828447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706669,0.001604336,0.02328985,0.0003768141,0.0006063147,0.000301548,0.00001080026,0.00006697041,0.003076458],"genre_scores_gemma":[0.9972342,0.0002438796,0.002250084,0.00005633477,0.00008163598,0.00002714982,0.000001500722,0.00001539572,0.00008985345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5876222,"threshold_uncertainty_score":0.9993059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06431878746762912,"score_gpt":0.4699435910920275,"score_spread":0.4056248036243985,"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."}}