{"id":"W4382049756","doi":"10.32920/23582286.v1","title":"Design And Evaluation Of A General Aviation PFD Symbology Based On Human Factors","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cockpit; Aviation; Workload; Computer science; Aviation accident; Task (project management); Aeronautics; Terrain; Simulation; Flight simulator; Engineering; Systems engineering; Operating system; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001812159,0.0006371384,0.0003777877,0.0004804488,0.0002658995,0.0008308482,0.0007222855,0.0004764166,0.002792193],"category_scores_gemma":[0.003611877,0.0002074748,0.00042501,0.0001919885,0.0004097379,0.00045815,0.0007124837,0.0003008739,0.0003427576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006727951,"about_ca_system_score_gemma":0.001285378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002252093,"about_ca_topic_score_gemma":0.001595819,"domain_scores_codex":[0.9990354,0.0003614091,0.00006403588,0.0001802028,0.0002623609,0.00009661524],"domain_scores_gemma":[0.9981323,0.0006927326,0.0001215973,0.0001380598,0.0006074766,0.0003078544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006909812,0.005890586,0.02478308,0.001990601,0.000240743,0.0007763751,0.003042274,0.02857828,0.4969458,0.002996482,0.003093243,0.4247527],"study_design_scores_gemma":[0.004754464,0.1268796,0.2433272,0.0002951585,0.001166269,0.00111811,0.003094479,0.3278216,0.2514062,0.002133853,0.03767211,0.0003308381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861477,0.0001777576,0.1305866,0.0001601536,0.00007307941,0.003509694,0.0002332084,0.0009613351,0.002821155],"genre_scores_gemma":[0.7757347,0.0002107427,0.2179904,0.0001254966,0.0000249568,0.002111924,0.0003115944,0.00007294861,0.003417178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002792193,"threshold_uncertainty_score":0.009583712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2749485325546819,"score_gpt":0.4773839607108151,"score_spread":0.2024354281561332,"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."}}