{"id":"W2019955150","doi":"10.1007/s00170-014-5607-z","title":"Manufacturing task semantic modeling and description in cloud manufacturing system","year":2014,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Cloud manufacturing; Ontology; Interoperation; Computer science; Task (project management); Cloud computing; Engineering; Systems engineering; World Wide Web; Interoperability","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":[0.0004234157,0.0002389435,0.0003040741,0.000758984,0.00006634237,0.0001175867,0.0007767067,0.0001749412,0.000005751624],"category_scores_gemma":[0.00003466232,0.0001987338,0.00007117401,0.00006323975,0.00007062705,0.0007509404,0.0001147569,0.0007737671,0.00000872718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507126,"about_ca_system_score_gemma":0.00001170121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007978487,"about_ca_topic_score_gemma":0.00001444909,"domain_scores_codex":[0.9983693,0.00002427394,0.0007619239,0.0001637348,0.0003739716,0.0003068096],"domain_scores_gemma":[0.9993595,0.00009105276,0.0002028756,0.0002266092,0.00006180946,0.00005807681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005239678,0.0000148324,0.00005514965,0.0001142648,0.0001017696,0.00004074455,0.0001981517,0.932294,0.004567957,0.002366452,0.00002179478,0.06017252],"study_design_scores_gemma":[0.001903349,0.00008954349,0.0006280587,0.00116859,0.00004019247,0.00190538,0.002565871,0.08911869,0.8787552,0.01917686,0.004162244,0.0004860068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437222,0.0001512537,0.05196467,0.0005911658,0.001583212,0.0001276397,0.00000315632,0.0002531702,0.001603512],"genre_scores_gemma":[0.9978888,0.0001803092,0.001606884,0.00003548447,0.000222491,0.000009239192,0.000001944593,0.00003891681,0.00001594634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8741872,"threshold_uncertainty_score":0.8104128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008995830046306502,"score_gpt":0.2094456226884802,"score_spread":0.2004497926421737,"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."}}