{"id":"W2794632487","doi":"10.1109/compcomm.2017.8323008","title":"A quantitative approach for determining pilot affective patterns during soaring flight simulation","year":2017,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Industry Canada","keywords":"Computer science; Flight simulator; Aeronautics; Simulation; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006327894,0.0001192268,0.0001487769,0.00006834084,0.0003202707,0.00007582943,0.0001495432,0.00006648781,0.000007829434],"category_scores_gemma":[0.00007811236,0.0001179822,0.00004020241,0.00002445849,0.00002255075,0.0003154583,0.00004563311,0.00008703834,0.000007309646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004571514,"about_ca_system_score_gemma":0.000003269846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280006,"about_ca_topic_score_gemma":0.00003841689,"domain_scores_codex":[0.9994505,0.000005397399,0.0001160951,0.0001702794,0.00005695335,0.000200772],"domain_scores_gemma":[0.9995637,0.00006815918,0.00006189321,0.0002474385,0.00003244382,0.00002634495],"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":[0.0001181611,0.0001053301,0.0890632,0.0006806651,0.0002784697,0.000006868508,0.002477095,0.7923614,0.08991278,0.008795124,0.00005132046,0.01614958],"study_design_scores_gemma":[0.0006575918,0.0001284726,0.04302596,0.00002477671,0.00001354804,0.000001105872,0.0003395582,0.9086662,0.04674868,0.0001772624,0.00001406467,0.0002028007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5161964,0.00000733398,0.4819446,0.00001208244,0.00005980132,0.0001844356,0.000003463109,0.000277289,0.001314618],"genre_scores_gemma":[0.9863917,0.000004289922,0.013263,0.000005868771,0.0000488822,0.00009159474,0.000006267661,0.00003045011,0.0001579385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4701953,"threshold_uncertainty_score":0.4811173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666072931767519,"score_gpt":0.2896514648382763,"score_spread":0.2529907355206011,"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."}}