{"id":"W4413834872","doi":"10.24908/iqurcp19005","title":"Drawing Heritage Façades from 3D Data: Reprocessing LiDAR and Photogrammetry Datasets from OpenHeritage3D","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Photogrammetry; Lidar; Remote sensing; Cultural heritage; Geography; Computer science; Geology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001304725,0.002049416,0.0009932696,0.009016209,0.0008460722,0.003794962,0.001874169,0.0009750786,0.008388846],"category_scores_gemma":[0.004754404,0.001301099,0.002331393,0.005417051,0.0008735617,0.002590065,0.004562357,0.00216585,0.0107123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007030506,"about_ca_system_score_gemma":0.001531071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412909,"about_ca_topic_score_gemma":0.02926146,"domain_scores_codex":[0.9982643,0.0001139545,0.00009312318,0.0003601832,0.0009720006,0.0001964429],"domain_scores_gemma":[0.9984331,0.000225078,0.000107153,0.000541717,0.000609675,0.00008333845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003514576,0.0003775782,0.01990371,0.001934232,0.0004802142,0.001687598,0.003157735,0.03543794,0.02907057,0.009487558,0.243063,0.6550485],"study_design_scores_gemma":[0.0001150963,0.0001591327,0.03807566,0.0009363386,0.0002445317,0.001535693,0.003728248,0.1189734,0.03894771,0.0212018,0.7754829,0.0005994575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06554353,0.002425211,0.5075051,0.001210956,0.001209848,0.001075558,0.2012034,0.185713,0.03411347],"genre_scores_gemma":[0.1425118,0.002008283,0.5310308,0.0004336455,0.0001583986,0.0008673775,0.2956918,0.02182446,0.005473474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01412909,"threshold_uncertainty_score":0.0280937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344605982977629,"score_gpt":0.3679831656845943,"score_spread":0.2335225673868314,"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."}}