{"id":"W4404038930","doi":"10.1016/j.istruc.2024.107697","title":"A novel computer vision and point cloud-based approach for accurate structural analysis of a tall irregular timber structure","year":2024,"lang":"en","type":"article","venue":"Structures","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Point cloud; Point (geometry); Cloud computing; Computer science; Artificial intelligence; Computer vision; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001490703,0.0002395953,0.0003774502,0.0001781747,0.0001292353,0.0001866988,0.0001688263,0.0001241857,0.0004935582],"category_scores_gemma":[0.00001418351,0.0001475042,0.000201402,0.0005177303,0.0001304085,0.0001607949,0.00001613398,0.0001420646,7.969329e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004719719,"about_ca_system_score_gemma":0.00003068109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003181541,"about_ca_topic_score_gemma":0.0005920449,"domain_scores_codex":[0.9987465,0.00005365358,0.0002593873,0.0004463319,0.0002340218,0.0002600877],"domain_scores_gemma":[0.9994335,0.0001442359,0.00007330496,0.0001907995,0.00005952457,0.00009865514],"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":[0.0005465852,0.00001662317,0.04309729,0.001093895,0.00223142,0.00001830386,0.001884814,0.8699566,0.007554149,0.00162842,0.002010909,0.06996095],"study_design_scores_gemma":[0.0002322332,0.0001191729,0.2870838,0.00001546767,0.0002780829,0.00001564205,0.00005035792,0.7106233,0.0001969797,0.0009129541,0.000279742,0.0001921658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780078,0.001011401,0.01801229,0.0000543648,0.0004003543,0.0002556649,0.002075378,0.00006713846,0.0001155899],"genre_scores_gemma":[0.9614269,0.000002550311,0.03683173,0.00008976871,0.0001555847,0.000001018869,0.001437261,0.0000071093,0.0000480565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2439866,"threshold_uncertainty_score":0.6015049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483950786301354,"score_gpt":0.2496693828653985,"score_spread":0.2348298750023849,"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."}}