{"id":"W4391296106","doi":"10.18280/rces.100402","title":"Design and Research of Digital Twin Construction Platform Based on Xiazhuang Inverted Siphon Project","year":2023,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Siphon (mollusc); Computer science; Engineering; Geology; Marine engineering; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299525,0.0005771481,0.0003679458,0.0009261761,0.0006408994,0.001027642,0.0009187493,0.0005606234,0.003628761],"category_scores_gemma":[0.000295125,0.0003429216,0.0004891726,0.0006171186,0.0004621899,0.001205268,0.001223708,0.0002558754,0.0005986123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322073,"about_ca_system_score_gemma":0.001270627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199899,"about_ca_topic_score_gemma":0.001650062,"domain_scores_codex":[0.9995474,0.00006265167,0.00002091117,0.00008815086,0.0002092785,0.00007163211],"domain_scores_gemma":[0.9998864,0.00001113147,0.00001352218,0.00001548027,0.00003788855,0.00003560512],"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":[0.0005374007,0.0002807716,0.02189748,0.001573618,0.00009144603,0.003038296,0.003096113,0.1035613,0.359779,0.06366164,0.006050441,0.4364325],"study_design_scores_gemma":[0.0002130043,0.002428814,0.04017675,0.0003015921,0.0003918727,0.003142701,0.004955982,0.5796508,0.1816398,0.01578514,0.1709744,0.0003391764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3637742,0.000878428,0.5812793,0.0003187318,0.0001666862,0.0003904309,0.0001645958,0.001232078,0.05179567],"genre_scores_gemma":[0.9000658,0.0008533357,0.0834932,0.00004505131,0.00001714045,0.0002884806,0.0001688827,0.00005913671,0.01500897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003628761,"threshold_uncertainty_score":0.01213944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150550528841516,"score_gpt":0.3326857969413043,"score_spread":0.2176307440571528,"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."}}