{"id":"W2109044754","doi":"10.1109/mcg.2002.1028724","title":"Active optical 3D imaging for heritage applications","year":2002,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Computer graphics (images); Cultural heritage; Field (mathematics); Computer graphics; Remote sensing; Multimedia; Geology; Archaeology; Geography","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":[0.00008789943,0.0001191348,0.0001161339,0.00004518334,0.0004682846,0.0001074441,0.0001572337,0.0000441636,0.00007587215],"category_scores_gemma":[0.000001389957,0.0001043245,0.00005812116,0.0001995034,0.0001220012,0.0001168369,0.000008052634,0.0001075506,0.00005946778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001957044,"about_ca_system_score_gemma":0.00000466704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003494986,"about_ca_topic_score_gemma":0.0001015064,"domain_scores_codex":[0.999224,0.00001665384,0.0001495789,0.0003066245,0.00009053079,0.0002126169],"domain_scores_gemma":[0.9994071,0.0001695361,0.00004205189,0.0001870801,0.00006344951,0.0001307679],"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":[0.000005662922,0.00008131781,0.01463441,0.00003984434,0.00002462167,0.000001028922,0.0001847645,0.0001568816,0.00005991424,0.01915734,0.002240892,0.9634133],"study_design_scores_gemma":[0.000665119,0.0001046324,0.07836714,0.00001963054,0.00005899727,0.00004837867,0.0001435765,0.4595109,0.00008484142,0.01008625,0.4502206,0.0006900099],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02071108,0.001589325,0.9683425,0.0009792555,0.0001806195,0.001684013,0.0005366184,0.0002468847,0.00572971],"genre_scores_gemma":[0.9844009,0.0002283802,0.01387363,0.0005439572,0.0004530741,0.0002117379,0.0001404424,0.000006854832,0.0001409914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9636899,"threshold_uncertainty_score":0.4254231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333491950586092,"score_gpt":0.224449098192885,"score_spread":0.2011141786870241,"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."}}