{"id":"W7089489209","doi":"10.1080/27525783.2025.2508268","title":"Spatial computing in digital twins","year":2025,"lang":"en","type":"article","venue":"Digital Twin","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interoperability; Relevance (law); Coding (social sciences); Process (computing); Geospatial analysis; Spatial analysis","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":[0.00003005434,0.0001135087,0.0001285959,0.0001029144,0.00001805621,0.0002438324,0.0001385394,0.00004560425,0.00001598862],"category_scores_gemma":[0.00004133772,0.0001164359,0.00004473084,0.0002047191,0.00002130657,0.000279484,0.00005594766,0.0001183978,0.00009631904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004581323,"about_ca_system_score_gemma":0.00001171229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166225,"about_ca_topic_score_gemma":0.00001290282,"domain_scores_codex":[0.9993569,0.000001808772,0.0002021099,0.0001407106,0.00008284413,0.0002156501],"domain_scores_gemma":[0.9997696,0.00003537669,0.000008966293,0.0001368791,0.00001414082,0.00003505615],"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":[0.000009404292,0.00009845012,0.06811538,0.0000966337,0.00004444556,0.00007164964,0.0004722206,0.0856681,0.0001698808,0.005102845,0.001546617,0.8386044],"study_design_scores_gemma":[0.00117238,0.00009878623,0.07714695,0.0006470656,0.00001203567,0.00002126193,0.0004660913,0.8130994,0.009704492,0.01031519,0.08583619,0.001480138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6543298,0.0001485423,0.1778402,0.00002967792,0.0004579207,0.0001176997,0.00002258227,0.0002539265,0.1667996],"genre_scores_gemma":[0.9993384,0.000003001245,0.00005856878,0.00003907397,0.00004720184,0.000001836213,0.00001793449,0.00001356995,0.0004804271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8371242,"threshold_uncertainty_score":0.4748119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009306237276978798,"score_gpt":0.2239210352030543,"score_spread":0.2146147979260755,"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."}}