{"id":"W6920305967","doi":"10.60692/pf5zh-xe962","title":"Ontologies for Industry 4.0","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Waterloo","funders":"","keywords":"Interoperability; Standardization; Industry 4.0; Domain (mathematical analysis); Ontology; Factory (object-oriented programming); State (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001111626,0.0001373722,0.0001551632,0.0001499087,0.00003344414,0.0001658566,0.0001437999,0.0003003429,0.00004178669],"category_scores_gemma":[0.000006214664,0.0001251507,0.00005737328,0.0001207152,0.00001065031,0.001484511,0.00001088848,0.0001610613,0.001809141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009981087,"about_ca_system_score_gemma":0.00001298978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.625501e-7,"about_ca_topic_score_gemma":1.765695e-8,"domain_scores_codex":[0.9991529,0.000005238378,0.0004232105,0.00006140571,0.0001446924,0.000212552],"domain_scores_gemma":[0.9995829,0.000008559954,0.0000599733,0.000221872,0.00007544414,0.00005124177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001830454,0.000006194899,0.5395432,0.0156116,0.0005884255,0.000002663303,0.1556155,0.2321908,0.00001758083,0.02432916,0.0190802,0.01283167],"study_design_scores_gemma":[0.01492579,0.0004642905,0.1435215,0.002307013,0.0001536934,0.0003260897,0.3403743,0.2899629,0.02112446,0.0000614917,0.1823261,0.004452396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7134361,0.000001885908,0.03417742,0.00002172407,0.001518936,0.000761881,0.0002274812,0.001439726,0.2484148],"genre_scores_gemma":[0.9991214,2.776494e-8,0.0002834593,0.00004301745,0.00004518203,0.0001239387,0.00002463824,0.00001322109,0.0003451484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3960217,"threshold_uncertainty_score":0.9989681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354236803043617,"score_gpt":0.2034349231966962,"score_spread":0.1680112428923345,"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."}}