{"id":"W2124058554","doi":"10.2312/egs.20021016","title":"Automated Enhancement of 3D Models","year":2002,"lang":"en","type":"article","venue":"Eurographics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Range (aeronautics); Artificial intelligence; Computer vision; Cover (algebra); Image (mathematics); Statistical model","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":[0.00008205431,0.00007522791,0.0000911715,0.0001230306,0.00004816282,0.00002876453,0.0003908128,0.0000172556,0.00002868853],"category_scores_gemma":[0.000010922,0.00007029544,0.00004329112,0.0006357571,0.00004535267,0.000373292,0.0001131466,0.00007270375,0.00002210954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003904343,"about_ca_system_score_gemma":0.00000400628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001138333,"about_ca_topic_score_gemma":1.936803e-7,"domain_scores_codex":[0.9992386,0.00002549627,0.0001720634,0.0001866199,0.0002149878,0.0001622678],"domain_scores_gemma":[0.999418,0.00002448778,0.00007015894,0.0003703941,0.00006729294,0.00004964904],"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":[0.000004577329,0.0008031653,0.000565334,0.00005864364,0.00005634815,0.0000432448,0.00278847,0.00279473,0.01124163,0.2286437,0.01019249,0.7428076],"study_design_scores_gemma":[0.0001396627,0.00004894098,0.00007312559,0.00001465876,0.000001650945,0.000002942784,0.000004263712,0.9912942,0.001815718,0.001886139,0.004643375,0.00007529343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003229162,0.0004978527,0.9863299,0.0002946472,0.0001762211,0.00006558882,5.937013e-7,0.0004849541,0.008921119],"genre_scores_gemma":[0.7291269,0.0002837089,0.2700398,0.0004016819,0.000009441856,0.000002677506,4.789577e-7,0.000006515776,0.000128778],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9884995,"threshold_uncertainty_score":0.2866565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662764909922755,"score_gpt":0.275778145165705,"score_spread":0.2391504960664775,"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."}}