{"id":"W4312099123","doi":"10.1109/taes.2022.3220836","title":"Special Issue on Industrial Information Integration in Space Applications","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Resilience (materials science); Space (punctuation); Computer science; Systems engineering; Reliability (semiconductor); Focus (optics); Special section; Space technology; Engineering; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000190251,0.0001767605,0.0001656623,0.0003254462,0.0002100651,0.0001228736,0.000109327,0.0001214861,0.0001348452],"category_scores_gemma":[0.000001600618,0.0002004593,0.0000418226,0.000566865,0.00002145678,0.0004699383,9.112807e-7,0.0008673412,0.0001035656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00065031,"about_ca_system_score_gemma":0.00006237881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005253118,"about_ca_topic_score_gemma":0.00005502337,"domain_scores_codex":[0.9988843,0.00004428825,0.0003331774,0.0001385288,0.0002850914,0.0003146378],"domain_scores_gemma":[0.9996475,0.00005156034,0.0000473845,0.0001730882,0.00002025482,0.00006019466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009240909,0.0001032294,0.00001222857,0.00004422287,0.00003593872,6.486164e-7,0.00111883,0.8966336,0.0001602834,0.007257081,0.01103126,0.08351022],"study_design_scores_gemma":[0.002340483,0.0006770578,0.00002854699,0.0001021481,0.00002869113,0.0000504864,0.007263669,0.0321248,0.004293433,0.0001151399,0.9523631,0.000612477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08827164,0.0003093288,0.5623878,0.002127161,0.01374277,0.007439089,0.0006988298,0.001518067,0.3235053],"genre_scores_gemma":[0.9973633,0.00008096569,0.000006961774,0.00004274964,0.0007391945,0.001045167,0.00002585152,0.00002147585,0.0006743014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9413318,"threshold_uncertainty_score":0.8174493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051150878705666,"score_gpt":0.2046422613086017,"score_spread":0.1941307525215451,"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."}}