{"id":"W4404916263","doi":"10.1109/ismar-adjunct64951.2024.00038","title":"A Cross Reality Application for a Hydrogen Pipeline Digital Twin","year":2024,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pipeline (software); Computer science; Computer graphics (images); Operating system","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":[0.00005575084,0.0000560648,0.00004763553,0.00004063191,0.00001513109,0.000061839,0.00006821312,0.00004330787,0.0000178986],"category_scores_gemma":[0.000002927012,0.00005138222,0.00003205103,0.0000849161,0.00001186227,0.0001184296,0.00002282998,0.00003767329,0.00005544965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002880451,"about_ca_system_score_gemma":0.00000319153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003386048,"about_ca_topic_score_gemma":0.000007188219,"domain_scores_codex":[0.9996672,6.214636e-7,0.00008853328,0.0001098101,0.00003470919,0.00009912869],"domain_scores_gemma":[0.9998382,0.00001258455,0.000003534414,0.0001255912,0.000006816766,0.00001330634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009431675,0.00005509578,0.0006854208,0.0005789359,0.0001708733,0.000005173438,0.00008190313,0.004542075,0.00407123,0.2536618,0.07799643,0.6581417],"study_design_scores_gemma":[0.0001139866,0.00001046264,0.0001547023,0.000005353289,0.00001116381,9.154173e-7,0.00001364219,0.4086812,0.004638778,0.01003597,0.5762382,0.00009563164],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02674435,0.000138801,0.9485241,0.0004844894,0.00009820823,0.0003349683,0.00002702008,0.00253874,0.02110929],"genre_scores_gemma":[0.9957806,0.000006836287,0.000632699,0.00001712813,0.00004737696,0.000211354,0.00005851003,0.00001356353,0.003231875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9690363,"threshold_uncertainty_score":0.2095306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032891882997983,"score_gpt":0.2837850069169287,"score_spread":0.2734560880869489,"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."}}