{"id":"W4416093178","doi":"10.61841/j9qbh297","title":"“Smart” Aircraft: Control in Critical Situations Created by Humans in Flight","year":2025,"lang":"","type":"article","venue":"Journal of Advance Research in Mechanical & Civil Engineering (ISSN 2208-2379)","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Civil Aviation Organization","funders":"","keywords":"Control (management); Artificial neural network; Control system; Automatic control; Air traffic control; Human intelligence; Block (permutation group theory); Situation awareness","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004930145,0.0006317883,0.001631305,0.00378581,0.0001402499,0.0001228991,0.001198776,0.0009668682,0.000211321],"category_scores_gemma":[0.00661854,0.000708602,0.0002974618,0.004906281,0.000181088,0.0009743189,0.0002024102,0.006781029,0.00003457786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002229908,"about_ca_system_score_gemma":0.0003900666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006929212,"about_ca_topic_score_gemma":0.001024496,"domain_scores_codex":[0.992575,0.0004996316,0.002759816,0.0007076971,0.001320915,0.002136896],"domain_scores_gemma":[0.9949418,0.003082382,0.0001902187,0.0006798652,0.0006414211,0.000464372],"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":[0.0007212181,0.002662265,0.003859906,0.001833574,0.0003588116,0.001917094,0.0007116867,0.6142879,0.2864107,0.07514942,0.004335093,0.007752346],"study_design_scores_gemma":[0.01864306,0.002022887,0.009686662,0.01530849,0.0001442219,0.0001182645,0.001516506,0.851706,0.03278559,0.03993918,0.02599778,0.002131297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1392242,0.03261573,0.782383,0.03907724,0.002857501,0.002279979,0.0001190163,0.0003325788,0.001110677],"genre_scores_gemma":[0.9916039,0.004535757,0.003166509,0.0000907716,0.0001637555,0.0001103126,0.000006263389,0.0001047163,0.0002180235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8523796,"threshold_uncertainty_score":0.9995365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949752033619076,"score_gpt":0.3528341843926404,"score_spread":0.3333366640564496,"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."}}