{"id":"W1979470493","doi":"10.1109/icosc.2015.7050780","title":"An ontological and hierarchical approach for supply chain event aggregation","year":2015,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"University at Albany","keywords":"Petri net; Computer science; Scope (computer science); Event (particle physics); Event calculus; Supply chain; Ontology; Theoretical computer science; Programming language; Software engineering; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508882,0.0005457542,0.0003987671,0.003508711,0.001824855,0.003159444,0.001314446,0.000943323,0.002098445],"category_scores_gemma":[0.003761477,0.0005174472,0.001935708,0.003393719,0.002656146,0.005400744,0.003211147,0.002230583,0.0005845446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326144,"about_ca_system_score_gemma":0.003115977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00840656,"about_ca_topic_score_gemma":0.0110738,"domain_scores_codex":[0.9979588,0.0006093092,0.00027854,0.0003289382,0.0006531731,0.0001713458],"domain_scores_gemma":[0.9985128,0.0003419304,0.0001685197,0.000471069,0.0003764536,0.0001291868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008727663,0.00003440834,0.0006351391,0.00006597967,0.00002996956,0.0002016619,0.0008023988,0.008254274,0.001623162,0.963599,0.001292328,0.02345284],"study_design_scores_gemma":[0.00001004662,0.00002678995,0.0009140005,0.0001760985,0.0001002039,0.0003812625,0.0008069159,0.1422486,0.003477398,0.7487029,0.1031032,0.00005261159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003788634,0.0001440119,0.984969,0.0004247466,0.00006365546,0.00009499112,0.0001472947,0.0003439847,0.01002374],"genre_scores_gemma":[0.1599688,0.0006082265,0.8331056,0.00030493,0.00009962639,0.0002822417,0.0006561058,0.0001239918,0.004850626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00840656,"threshold_uncertainty_score":0.01687747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339784328587918,"score_gpt":0.2672910845662195,"score_spread":0.2438932412803403,"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."}}