{"id":"W2029285731","doi":"10.1007/pl00011469","title":"Assessing polygon edge integrity","year":2001,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada); University of Waterloo","funders":"","keywords":"Woodland; Polygon (computer graphics); Indeterminacy (philosophy); Context (archaeology); Geography; Mathematics; Representation (politics); Simplicial complex; Computer science; Combinatorics; Ecology","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":[0.001127704,0.0001082246,0.0002655215,0.0003454616,0.0001597608,0.0009147056,0.0005309562,0.0001172276,0.000003592907],"category_scores_gemma":[0.00009020686,0.00007788653,0.0001769582,0.0007550329,0.00007441003,0.001534379,0.00005063169,0.0005883566,0.000005827054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002932344,"about_ca_system_score_gemma":0.0001233156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004702763,"about_ca_topic_score_gemma":0.000001470499,"domain_scores_codex":[0.9984922,0.0001626928,0.0005564113,0.0001523194,0.0004109867,0.0002253964],"domain_scores_gemma":[0.9987264,0.00007834836,0.0004843848,0.000185308,0.0003692956,0.0001563199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004547633,0.0003890815,0.2064143,0.0001653709,0.0001730885,0.0004191909,0.0003526065,0.0001420532,0.005152924,0.01292565,0.001575306,0.772245],"study_design_scores_gemma":[0.007992864,0.002697771,0.3249368,0.00700825,0.000358337,0.1736697,0.004172298,0.2928267,0.004228016,0.046284,0.132507,0.003318269],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3627034,0.002018526,0.6291137,0.000938907,0.003515842,0.00004309119,1.626564e-7,0.0000564596,0.001609972],"genre_scores_gemma":[0.9911542,0.0000759929,0.008080008,0.00004809102,0.0005835488,8.040113e-7,1.291743e-7,0.000005095133,0.00005212834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7689267,"threshold_uncertainty_score":0.8820527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485730362783424,"score_gpt":0.2830891807104813,"score_spread":0.2582318770826471,"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."}}