{"id":"W2556921987","doi":"","title":"ROBUST EXTRACTION OF TRAFFIC SIGNS FROM GEOREFERENCED MOBILE MAPPING IMAGES","year":2009,"lang":"en","type":"article","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Scale-invariant feature transform; Computer science; Georeference; Feature extraction; Global Positioning System; Computer vision; Matching (statistics); Data mining; Artificial intelligence; Real-time computing; Geography; Telecommunications","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":[0.0002281351,0.0008507079,0.0008242136,0.003260402,0.0002168509,0.000597374,0.0004843468,0.0005514443,0.00080382],"category_scores_gemma":[0.000877174,0.000294411,0.0005563062,0.001445684,0.0001997946,0.0004625121,0.0004281244,0.0003150648,0.001680253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380215,"about_ca_system_score_gemma":0.0004235453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206193,"about_ca_topic_score_gemma":0.001821473,"domain_scores_codex":[0.999777,0.00002363237,0.0000118722,0.00004727004,0.0001001041,0.00004011118],"domain_scores_gemma":[0.9997551,0.00003566756,0.00003995621,0.00005280621,0.000105553,0.00001097879],"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":[0.0001691952,0.00008998677,0.003758605,0.0002078711,0.00007305192,0.0003602788,0.00007644846,0.01322253,0.2468947,0.0009401971,0.002261099,0.7319461],"study_design_scores_gemma":[0.00006518033,0.0005433557,0.1010861,0.0001232038,0.0004355455,0.002945416,0.0004271197,0.5029369,0.357157,0.004039566,0.03009999,0.0001406348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.206333,0.000806127,0.7843971,0.00006957581,0.00009455453,0.0001861324,0.0008545726,0.00447427,0.002784733],"genre_scores_gemma":[0.5697035,0.0009924445,0.4210414,0.00004552948,0.00007951721,0.0001674092,0.004268389,0.0002477476,0.003454061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003260402,"threshold_uncertainty_score":0.002689064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923926775249274,"score_gpt":0.2250327713191596,"score_spread":0.2057935035666669,"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."}}