{"id":"W2125114583","doi":"10.1109/cvpr.2001.990662","title":"A model-based road sign identification system","year":2005,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University; Institut National d'Optique","funders":"","keywords":"Computer science; Modular design; RSS; Artificial intelligence; Traffic sign recognition; Computer vision; Identification (biology); Machine vision; Sign (mathematics); Matching (statistics); Task (project management); Real-time computing; Traffic sign; Engineering","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":[0.0002504839,0.0005218625,0.0009222878,0.000592368,0.000559767,0.001388996,0.001557694,0.001125605,0.01198607],"category_scores_gemma":[0.0007498479,0.0003326468,0.0004171434,0.0004029461,0.0002453255,0.001208212,0.001029064,0.0006418711,0.00922217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005291899,"about_ca_system_score_gemma":0.0008658766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202677,"about_ca_topic_score_gemma":0.002639136,"domain_scores_codex":[0.9996206,0.00002660107,0.00002410409,0.0001110087,0.000185171,0.00003254714],"domain_scores_gemma":[0.9997134,0.0000261116,0.00002146123,0.00009531854,0.0001152046,0.00002854145],"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":[0.0007503584,0.0005438894,0.003043723,0.0004393626,0.0001294997,0.0007488,0.0001999428,0.1929103,0.1775799,0.0170261,0.0464642,0.5601639],"study_design_scores_gemma":[0.00006083415,0.0002010741,0.0009443457,0.0000243932,0.00004888339,0.0003379851,0.00002322493,0.9431574,0.02247214,0.003465776,0.02920011,0.00006374428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02216638,0.0002309727,0.9160828,0.0003369718,0.0002599405,0.0002254295,0.0008236127,0.04349065,0.01638311],"genre_scores_gemma":[0.6886123,0.0004054689,0.2737019,0.0004639751,0.0001272508,0.0005554368,0.003431784,0.0006779527,0.03202386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01198607,"threshold_uncertainty_score":0.04009742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947173003639282,"score_gpt":0.2219780217363685,"score_spread":0.2025062916999756,"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."}}