{"id":"W3026085784","doi":"10.1109/icii.2019.00064","title":"LSTM-based Approach to Monitor Operator Situation Awareness via HMI State Prediction","year":2019,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Ontario Power Generation","funders":"","keywords":"Situation awareness; Operator (biology); Computer science; Situation analysis; Recurrent neural network; Task (project management); Artificial intelligence; Machine learning; Aviation accident; State (computer science); Artificial neural network; Aviation; Engineering; Systems engineering","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":[0.0002290632,0.0004667335,0.000264668,0.0002808532,0.000142193,0.0002839757,0.0005768259,0.0003943372,0.001426511],"category_scores_gemma":[0.0006140613,0.0001637324,0.0002236308,0.0002945241,0.0001406149,0.0004850314,0.0003202852,0.0006374719,0.0003775679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458956,"about_ca_system_score_gemma":0.0004966318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005764697,"about_ca_topic_score_gemma":0.007485348,"domain_scores_codex":[0.9998896,0.00001719763,0.000007606463,0.00003766516,0.00002886632,0.00001908089],"domain_scores_gemma":[0.9998403,0.00004628659,0.00002700679,0.00001442496,0.00006157663,0.00001033465],"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":[0.0002602577,0.0002493536,0.003880191,0.0001374816,0.0001326141,0.0002137936,0.0001914234,0.5275835,0.04105935,0.003428278,0.005122127,0.4177415],"study_design_scores_gemma":[0.00000155245,0.00002298135,0.0004017849,0.000002833936,0.000007035825,0.00001275761,0.000005839628,0.9968072,0.001857737,0.0006084869,0.000268716,0.000003122801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08826652,0.0004753433,0.9035182,0.0003103859,0.0001683512,0.00004764453,0.0003441314,0.00312221,0.003747282],"genre_scores_gemma":[0.9300343,0.0001740373,0.06628172,0.00009009799,0.00005732572,0.00004204644,0.0002809544,0.00003830614,0.003001179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005764697,"threshold_uncertainty_score":0.01146227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142490090125119,"score_gpt":0.2417488105415276,"score_spread":0.2303239096402764,"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."}}