{"id":"W4409679100","doi":"10.2139/ssrn.5149707","title":"Gaussian Splatting for Automated Video-to-3D Building Energy Modeling","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Computer science; Computer graphics (images); Gaussian; Computer vision; Artificial intelligence; Physics","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":[0.0004500952,0.0009359652,0.000892096,0.000999505,0.0004831347,0.0007613983,0.001284657,0.00118688,0.005409198],"category_scores_gemma":[0.001786673,0.0007406418,0.001417047,0.001324723,0.0004913288,0.0008407736,0.001455275,0.001239719,0.002649674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007799932,"about_ca_system_score_gemma":0.00141774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02834406,"about_ca_topic_score_gemma":0.02822395,"domain_scores_codex":[0.9996977,0.00004185705,0.00001352807,0.00007355527,0.0001312676,0.0000420913],"domain_scores_gemma":[0.9995539,0.0001665569,0.00003288702,0.00008835478,0.0001299057,0.00002843858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002423168,0.0001526973,0.001522747,0.0001416582,0.00008657044,0.0001263129,0.0001673012,0.5510915,0.01904291,0.006532892,0.005126196,0.415767],"study_design_scores_gemma":[0.000002346857,0.000004438661,0.0001498388,0.000001961557,0.000002002738,0.000009789918,0.000006209311,0.9968554,0.001628474,0.0008568417,0.0004793693,0.000003415888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006795178,0.00004571264,0.9893142,0.00003086209,0.00001264437,0.00002715556,0.000205267,0.003138289,0.0004305496],"genre_scores_gemma":[0.2877202,0.0001998692,0.7060418,0.0001020282,0.00003266383,0.0001987203,0.001677101,0.001310812,0.002716742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02834406,"threshold_uncertainty_score":0.05635816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795432536492318,"score_gpt":0.2603753546354093,"score_spread":0.2424210292704861,"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."}}