{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377337,0.0003881242,0.0004365478,0.003375448,0.001390633,0.00445528,0.000720733,0.0009857175,0.009917377],"category_scores_gemma":[0.007215999,0.0002315627,0.0005748552,0.005297998,0.002345592,0.006241123,0.003750613,0.0007055223,0.001190814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416422,"about_ca_system_score_gemma":0.00433545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00412802,"about_ca_topic_score_gemma":0.006123103,"domain_scores_codex":[0.9978539,0.0008156211,0.0002035559,0.0002132827,0.0007514699,0.0001622008],"domain_scores_gemma":[0.9976608,0.001272505,0.0002788546,0.0001394007,0.000444013,0.0002044292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008482243,0.00005269106,0.005054648,0.008005397,0.00008566995,0.0007373884,0.005953304,0.00186537,0.001165081,0.4201101,0.02865665,0.5282289],"study_design_scores_gemma":[0.00001108168,0.00009882334,0.004618331,0.006017792,0.00008278145,0.001700717,0.01138667,0.001070029,0.001363642,0.06627609,0.9073351,0.00003898783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1098183,0.3900325,0.06589758,0.02350101,0.006792134,0.0003747476,0.0008628993,0.0004871993,0.4022336],"genre_scores_gemma":[0.5930465,0.3153606,0.0386479,0.005691804,0.001539927,0.0003234915,0.0008733598,0.0002159109,0.04430049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009917377,"threshold_uncertainty_score":0.03317696,"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."}}