{"id":"W3203877416","doi":"10.1109/iccv48922.2021.01220","title":"Structured Outdoor Architecture Reconstruction by Exploration and Classification","year":2021,"lang":"en","type":"article","venue":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Correctness; Computer science; Heuristic; Architecture; Artificial intelligence; Iterative reconstruction; Machine learning; 3D reconstruction; Ground truth; Quality (philosophy); Imperfect; Image (mathematics); Data mining; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001751449,0.0002967968,0.0002527633,0.0002378989,0.0002143486,0.0008517091,0.0006180825,0.0001216881,0.0002968321],"category_scores_gemma":[0.00004979715,0.0002839359,0.00008812543,0.0003244666,0.00007182625,0.00136135,0.0002570838,0.0003908052,0.00009788338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219115,"about_ca_system_score_gemma":0.000116613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004774149,"about_ca_topic_score_gemma":0.00000940612,"domain_scores_codex":[0.9974678,0.0001789501,0.0004739503,0.0009940314,0.0006272551,0.0002580819],"domain_scores_gemma":[0.9982837,0.0001012679,0.0002569693,0.0005446728,0.0006453829,0.0001679867],"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":[0.00002897379,0.00007460452,0.0000479198,0.000007943846,0.00002833056,0.00001813211,0.0002686297,0.0002700551,0.072612,0.0286908,0.00536532,0.8925873],"study_design_scores_gemma":[0.0009746943,0.0002008525,0.001033783,0.0002477176,0.000007996646,0.0002149333,0.0001413029,0.9325992,0.02048919,0.02733672,0.01624537,0.0005081637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007201904,0.00006066317,0.9710365,0.01595836,0.003356959,0.0001655778,0.00002521032,0.0001342992,0.002060549],"genre_scores_gemma":[0.7386633,0.0005590824,0.255582,0.002390487,0.0006915629,0.00003375218,0.0002367857,0.00003432379,0.001808669],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9323292,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014242904960149,"score_gpt":0.3095517515387787,"score_spread":0.2694093224891773,"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."}}