{"id":"W2024358447","doi":"10.1115/1.4030077","title":"Task-Oriented Adaptive Maintenance Support System","year":2015,"lang":"en","type":"article","venue":"Journal of Computing and Information Science in Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Task (project management); Computer science; Process (computing); Documentation; Software engineering; Software; Technician; Technical documentation; Human–computer interaction; Systems engineering; 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":[0.002116285,0.000065958,0.0001399122,0.0004886352,0.00004656039,0.0001665347,0.0004288759,0.00002103539,9.408302e-8],"category_scores_gemma":[0.0003895066,0.00005218689,0.00001886075,0.0007276791,0.00004693571,0.005279452,0.0001238753,0.0001270909,0.000002583565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227269,"about_ca_system_score_gemma":0.000196708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000044738,"about_ca_topic_score_gemma":1.033019e-7,"domain_scores_codex":[0.9988757,0.000009615594,0.0004475013,0.00006367674,0.000407782,0.0001957257],"domain_scores_gemma":[0.9990898,0.00005526522,0.000252895,0.0000982446,0.0003926752,0.0001110633],"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":[0.00002515737,0.00002586341,0.005195884,0.0001237883,0.00001128243,0.00006405802,0.0342141,0.6785927,0.0002642211,0.2248563,0.0004791874,0.0561474],"study_design_scores_gemma":[0.000343757,0.0001047365,0.01168019,0.0001524473,0.000001003317,0.0004376744,0.002553324,0.9835514,0.0001466866,0.00002657934,0.0009283447,0.00007383386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2209004,0.00002244505,0.7771859,0.00009501707,0.0008692927,0.00002950284,1.151967e-7,0.00003596604,0.0008613763],"genre_scores_gemma":[0.9499804,0.000004094657,0.04994094,0.00004364451,0.00002834864,1.930149e-7,5.302447e-8,9.921646e-7,0.000001355479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.72908,"threshold_uncertainty_score":0.3827475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307190104273941,"score_gpt":0.2328087668812602,"score_spread":0.2197368658385208,"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."}}