{"id":"W787277917","doi":"","title":"VALIDATION OF AN OPERATIONAL AEI/OCR SYSTEM","year":2004,"lang":"en","type":"article","venue":"At the Crossroads:  Integrating Mobility Safety and Security. ITS America 2004, 14th Annual Meeting and ExpositionITS America","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical character recognition; Automation; Container (type theory); Context (archaeology); Identification (biology); Radio-frequency identification; Computer science; Process (computing); Port (circuit theory); Electronic data interchange; Engineering; Telecommunications; Real-time computing; Database; Computer security; Operating system; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007473553,0.0009236412,0.0005543988,0.002176451,0.001262213,0.00137718,0.002005209,0.001892603,0.00691515],"category_scores_gemma":[0.01942958,0.0002866761,0.0004813202,0.0007853298,0.001175728,0.001466362,0.001061337,0.0008018669,0.005096798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009658958,"about_ca_system_score_gemma":0.001477033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769505,"about_ca_topic_score_gemma":0.001809086,"domain_scores_codex":[0.9899215,0.00146846,0.001141103,0.001629892,0.005454023,0.0003850971],"domain_scores_gemma":[0.9790347,0.002832451,0.0008753002,0.002813672,0.0141599,0.0002840857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009893201,0.001096633,0.01869423,0.0007213051,0.00008791183,0.0006400363,0.001847529,0.007401543,0.7490791,0.00331312,0.00470891,0.2114204],"study_design_scores_gemma":[0.0001219485,0.002732804,0.01631731,0.0001249311,0.0001209029,0.001138626,0.000610872,0.04508285,0.9062995,0.0003481231,0.02698552,0.0001166912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5157385,0.0005086819,0.4443347,0.000574315,0.001010805,0.003537093,0.002745619,0.01082745,0.02072282],"genre_scores_gemma":[0.6868388,0.0003412685,0.2906227,0.000624358,0.0001138651,0.001922435,0.003540698,0.001002935,0.01499301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007473553,"threshold_uncertainty_score":0.03952444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004986751178310513,"score_gpt":0.214612881925915,"score_spread":0.2096261307476045,"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."}}