{"id":"W4413319569","doi":"10.1109/arso64737.2025.11124978","title":"An Occlusion-Free Multi-View Building Facade Feature Reconstruction","year":2025,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facade; Computer science; Feature (linguistics); Artificial intelligence; Computer vision; Occlusion; Engineering; Medicine; Structural engineering","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":[0.0002933946,0.0007314529,0.0006013586,0.0007192338,0.0001906248,0.0005437505,0.0009782037,0.0005492611,0.001286655],"category_scores_gemma":[0.0005890334,0.0004947277,0.000780723,0.0005863145,0.0003076146,0.0007669404,0.001123325,0.001085624,0.0005779933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324928,"about_ca_system_score_gemma":0.0005937339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951952,"about_ca_topic_score_gemma":0.003435523,"domain_scores_codex":[0.9997216,0.00001779939,0.00000798459,0.00007916552,0.0001303544,0.00004310867],"domain_scores_gemma":[0.9998025,0.00003027891,0.00003251515,0.00007119601,0.00004319175,0.00002036416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002600389,0.000178936,0.003598202,0.00021641,0.0001370513,0.0004957644,0.000355365,0.1642683,0.2970387,0.003216431,0.005177381,0.5250575],"study_design_scores_gemma":[0.00001797888,0.0001097483,0.002523695,0.00001523799,0.00002745345,0.0005245217,0.00006323185,0.9424952,0.0492084,0.001343343,0.003641872,0.00002922262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03100768,0.0001127071,0.9668282,0.00005758973,0.0000287179,0.0000360017,0.0001567845,0.001050669,0.0007216276],"genre_scores_gemma":[0.3314683,0.0002107022,0.6653554,0.00008244046,0.00003677929,0.00004991529,0.0007907268,0.0001851351,0.001820487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001951952,"threshold_uncertainty_score":0.00430429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678154102449374,"score_gpt":0.2583696845619908,"score_spread":0.2415881435374971,"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."}}