{"id":"W7117299222","doi":"10.1016/j.procs.2025.12.108","title":"Designing a Reusable Pipeline Architecture for Cross-Domain Simulations","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ministero dell'Istruzione e del Merito","keywords":"Workflow; Software deployment; Pipeline (software); Modular design; Reuse; Abstraction; Architecture; Cloud computing","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":[0.002367748,0.0001276145,0.0001764015,0.0005618284,0.0009371276,0.0009107647,0.001568978,0.00005269744,0.00002674455],"category_scores_gemma":[0.001662782,0.0001013007,0.00007826199,0.00354136,0.0003848046,0.0004403143,0.000327203,0.0001047408,0.00002118942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000520389,"about_ca_system_score_gemma":0.0003826776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003208001,"about_ca_topic_score_gemma":0.000004758345,"domain_scores_codex":[0.9976115,0.00002564117,0.0005326309,0.0007715123,0.000716552,0.0003421619],"domain_scores_gemma":[0.9963138,0.001578564,0.0001509183,0.000683634,0.001168449,0.0001046623],"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":[0.00005507878,0.0002181368,0.02131363,0.00003927508,0.000009825626,9.24913e-7,0.001543256,0.3946657,0.02240831,0.1416137,0.0322419,0.3858903],"study_design_scores_gemma":[0.0002307034,0.00002578032,0.001709293,0.000017345,0.000002874814,0.000001698008,0.00001382658,0.5586652,0.008456769,0.3914678,0.0392913,0.0001175365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01667802,0.00002554115,0.9789308,0.002035177,0.00023924,0.0007020342,0.000015407,0.0001696873,0.001204102],"genre_scores_gemma":[0.5373382,3.893393e-7,0.4609527,0.0007052023,0.00009457942,0.00006821922,0.000002340902,0.000004342764,0.0008340725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5206602,"threshold_uncertainty_score":0.8782525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06846767344640158,"score_gpt":0.4331478740763843,"score_spread":0.3646802006299827,"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."}}