{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624075,0.0006598039,0.0003832933,0.001044066,0.0005061549,0.001532685,0.001321511,0.00121734,0.02015501],"category_scores_gemma":[0.003010205,0.0003350271,0.0006980158,0.0005090015,0.000351196,0.001933564,0.002814079,0.0008916173,0.002860607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808765,"about_ca_system_score_gemma":0.0004871222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048404,"about_ca_topic_score_gemma":0.001184991,"domain_scores_codex":[0.999203,0.0002457777,0.00005467572,0.0001188921,0.0002990726,0.00007855318],"domain_scores_gemma":[0.9989795,0.0003981776,0.00003858551,0.0001865641,0.0002373899,0.0001597814],"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":[0.002917469,0.001613551,0.009461362,0.002887393,0.0002528395,0.008502341,0.01145334,0.03025186,0.1784619,0.06948784,0.1108633,0.5738468],"study_design_scores_gemma":[0.000596298,0.002132517,0.01173599,0.0005158687,0.0002496647,0.004908476,0.00239576,0.2478755,0.08387649,0.01940475,0.6259627,0.0003460301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.101727,0.0007126029,0.7888681,0.001452878,0.0004700639,0.001650216,0.001768027,0.04642879,0.05692229],"genre_scores_gemma":[0.536864,0.0007306444,0.4129117,0.0007821555,0.0001083026,0.001023955,0.003082977,0.00305946,0.04143681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02015501,"threshold_uncertainty_score":0.06742525,"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."}}