{"id":"W4391453088","doi":"10.1007/978-3-031-50176-0_11","title":"A Digital Twin for Management of Molten Material Containment in Furnaces","year":2024,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Containment (computer programming); Petroleum engineering; Waste management; Process engineering; Nuclear engineering; Computer science; Geology; Engineering; Programming language","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":[0.0007088333,0.0006960297,0.0004563255,0.0015313,0.0008438242,0.002968366,0.001556104,0.001081477,0.03169724],"category_scores_gemma":[0.001251487,0.0004761554,0.0003181287,0.001582054,0.0005744775,0.005719151,0.003086314,0.001448384,0.008885335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006307861,"about_ca_system_score_gemma":0.001208339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008504846,"about_ca_topic_score_gemma":0.001315346,"domain_scores_codex":[0.9992704,0.00005548045,0.00004023932,0.000104971,0.000455577,0.00007338248],"domain_scores_gemma":[0.9994102,0.0001018028,0.00003294617,0.0002005221,0.0001600776,0.00009446085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003442516,0.0001824762,0.0008328741,0.0002653444,0.00001554427,0.0004198812,0.0005232408,0.003650069,0.02781581,0.06034037,0.07022648,0.8353837],"study_design_scores_gemma":[0.0000438293,0.0002516294,0.001433768,0.0002516861,0.00004516309,0.001138892,0.0003974019,0.03652868,0.04374137,0.01928116,0.8968223,0.00006407465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03232966,0.006974754,0.6071318,0.002299038,0.002635604,0.0005563837,0.001176216,0.02198916,0.3249074],"genre_scores_gemma":[0.221047,0.007047475,0.3099847,0.001491344,0.0008691443,0.0003258491,0.002743431,0.004399299,0.4520918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03169724,"threshold_uncertainty_score":0.1060379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157083647600161,"score_gpt":0.2106916253689562,"score_spread":0.1991207888929546,"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."}}