{"id":"W4379352774","doi":"10.1007/978-3-031-34612-5_10","title":"A Novel Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Dataset","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Polygon (computer graphics); Matching (statistics); Computer science; Centroid; Similarity (geometry); Intersection (aeronautics); Feature (linguistics); Position (finance); Pattern recognition (psychology); Polygon mesh; Blossom algorithm; Feature matching; Artificial intelligence; Data mining; Algorithm; Feature extraction; Mathematics; Image (mathematics); Cartography; Geography; Statistics; Frame (networking)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007931552,0.001441438,0.001749505,0.006841321,0.001127077,0.001827836,0.00314702,0.001598188,0.007029017],"category_scores_gemma":[0.002199671,0.0006284884,0.001958248,0.008569999,0.000485615,0.002319146,0.002576907,0.00115278,0.00811743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006133885,"about_ca_system_score_gemma":0.001713932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278121,"about_ca_topic_score_gemma":0.02152625,"domain_scores_codex":[0.9978786,0.00008603241,0.000128789,0.0007308366,0.0009572144,0.0002184851],"domain_scores_gemma":[0.9991809,0.00006462877,0.00006289691,0.0002714325,0.0003722764,0.00004795923],"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":[0.0003009908,0.0002437995,0.003189663,0.0003366657,0.0002187331,0.0002285848,0.0001362283,0.004780435,0.05882532,0.002597291,0.04776237,0.88138],"study_design_scores_gemma":[0.000184417,0.0003953529,0.02020435,0.0001130331,0.0003457492,0.002756227,0.0008126447,0.7101415,0.1257255,0.01233945,0.1267196,0.0002622675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02865462,0.001061275,0.9283263,0.0001807848,0.0005127824,0.0005698903,0.008208239,0.02861888,0.00386722],"genre_scores_gemma":[0.08999808,0.0004943757,0.8728236,0.0001457998,0.0001382799,0.0004255508,0.02851611,0.001181969,0.006276264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01278121,"threshold_uncertainty_score":0.02541363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05616923185155876,"score_gpt":0.3420109419931966,"score_spread":0.2858417101416378,"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."}}