{"id":"W2317835606","doi":"10.1177/154193120404800103","title":"A Visual Display of Flight Time and Distance","year":2004,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visibility; Flight management system; Flight simulator; Measure (data warehouse); Cockpit; Computer science; Instrumentation (computer programming); Simulation; Task (project management); Time of flight; Aeronautics; Real-time computing; Engineering; Meteorology; Geography; Optics","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":[0.0004630633,0.0005532412,0.0003695024,0.0002878562,0.0001645906,0.000519371,0.0002773046,0.0004300446,0.005800153],"category_scores_gemma":[0.007382499,0.0001940577,0.0001975631,0.0002267825,0.0001644273,0.0003574467,0.0005490663,0.0004509058,0.000390726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322005,"about_ca_system_score_gemma":0.0002311961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007594889,"about_ca_topic_score_gemma":0.0007511449,"domain_scores_codex":[0.9996306,0.0001413595,0.00002763741,0.00006669575,0.00009635306,0.00003732622],"domain_scores_gemma":[0.9936576,0.004573393,0.000471018,0.0004002271,0.0004696972,0.0004281292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02236084,0.00275938,0.03134683,0.001525772,0.0002276337,0.0007896417,0.003022015,0.009296777,0.7657947,0.001261983,0.003245935,0.1583685],"study_design_scores_gemma":[0.003158616,0.05157915,0.6506607,0.0004862879,0.0009949155,0.001761971,0.001863958,0.05439317,0.2090383,0.002100711,0.02338836,0.0005738846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851216,0.0001480414,0.01112512,0.00009994074,0.00009856175,0.0001499284,0.0005291525,0.0004667415,0.00226083],"genre_scores_gemma":[0.9843396,0.0001375065,0.01371238,0.00008094346,0.00003956187,0.000202497,0.0002885741,0.00005109657,0.001147801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005800153,"threshold_uncertainty_score":0.01940346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085598610833501,"score_gpt":0.2819393950590506,"score_spread":0.2710834089507156,"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."}}