{"id":"W1528608733","doi":"10.1109/dasc.2003.1245910","title":"Human factors flight trial analysis for 2D situation awareness and 3D synthetic vision displays","year":2003,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marinvent (Canada)","funders":"National Aeronautics and Space Administration","keywords":"Terrain; Aeronautics; Flight test; Computer science; Simulation; Flight simulator; Artificial intelligence; Engineering; Geography; Cartography","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":[0.0002914199,0.0001305407,0.0002366778,0.0002924391,0.0003158741,0.00006484774,0.00005881934,0.0001104218,0.01215931],"category_scores_gemma":[0.00008247256,0.0001045106,0.0001536121,0.0002163269,0.00002905227,0.0001284138,0.000007561754,0.00006282774,0.00007799404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003378502,"about_ca_system_score_gemma":0.00001076961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007243459,"about_ca_topic_score_gemma":0.0002285874,"domain_scores_codex":[0.9988686,0.0001772578,0.0003615755,0.0003124202,0.0001256544,0.0001544183],"domain_scores_gemma":[0.9992581,0.0002284296,0.0001283383,0.0002411499,0.00007393644,0.00007007011],"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":[0.008780564,0.003701485,0.1009705,0.0001316062,0.005408553,0.000008727738,0.03439744,0.0009564956,0.006343354,0.8001764,0.02741754,0.01170737],"study_design_scores_gemma":[0.07522629,0.002169753,0.7247126,0.00005030036,0.003085292,0.00001212541,0.008871273,0.01340964,0.003577968,0.003636293,0.1633931,0.001855412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918117,0.000009624376,0.07819682,0.0001060159,0.0008496544,0.0004531863,0.00001498301,0.00009410229,0.02846392],"genre_scores_gemma":[0.9897286,0.000001031383,0.0001742588,0.00006782459,0.00005141323,0.00006919507,0.00008411041,0.00001207843,0.00981153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7965401,"threshold_uncertainty_score":0.9887437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04557473457345777,"score_gpt":0.402661176174168,"score_spread":0.3570864416007102,"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."}}