{"id":"W4416444381","doi":"10.1016/j.rsase.2025.101807","title":"Gaussian Building Mesh (GBM): Extract a building’s 3D mesh with Google Earth and Gaussian Splatting","year":2025,"lang":"en","type":"article","venue":"Remote Sensing Applications Society and Environment","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline (software); Segmentation; Gaussian; Representation (politics); Radiance; Polygon mesh; Object (grammar); Triangulation; Photogrammetry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004364205,0.001718065,0.0009779833,0.003681401,0.0006228378,0.00155624,0.001377158,0.001072243,0.01325342],"category_scores_gemma":[0.001520722,0.0009279167,0.0021963,0.002183022,0.0005382885,0.001427927,0.002415843,0.001274636,0.009931535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428897,"about_ca_system_score_gemma":0.001029078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008428226,"about_ca_topic_score_gemma":0.02085621,"domain_scores_codex":[0.9995541,0.00002424595,0.00002479646,0.00009875479,0.0002183805,0.00007972871],"domain_scores_gemma":[0.9996934,0.00007438177,0.00002996115,0.00008497177,0.00009280084,0.00002452235],"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":[0.0002936587,0.000129189,0.005293199,0.0008945385,0.0002929436,0.0007346531,0.00103461,0.02977089,0.06272539,0.01138936,0.0911453,0.7962962],"study_design_scores_gemma":[0.0001121678,0.0001634569,0.0124514,0.0001867214,0.00019548,0.001867032,0.0007699809,0.648385,0.1240658,0.03111222,0.1804202,0.0002705441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01280354,0.0003004443,0.8939378,0.0001691151,0.0001020554,0.0002226803,0.005704728,0.08220563,0.004553987],"genre_scores_gemma":[0.0873379,0.0004684552,0.8750395,0.0001854507,0.00003875216,0.0002899796,0.01991399,0.01191871,0.004807358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01325342,"threshold_uncertainty_score":0.04433709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006246092883944293,"score_gpt":0.208642656714614,"score_spread":0.2023965638306697,"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."}}