{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005968683,0.0003992386,0.0005130949,0.00009301729,0.001083766,0.0001936067,0.0001825657,0.0001602123,0.00003134073],"category_scores_gemma":[0.0002029772,0.0003327652,0.0000963261,0.0004509137,0.0005808205,0.0006660729,0.00009545386,0.0004347349,0.00002061843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257301,"about_ca_system_score_gemma":0.00007380824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008908855,"about_ca_topic_score_gemma":0.00004615677,"domain_scores_codex":[0.9975469,0.0002671418,0.0008265753,0.0005304161,0.0003709368,0.0004580343],"domain_scores_gemma":[0.9984879,0.000308306,0.0002548994,0.0003278568,0.0004093451,0.0002116625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002001088,0.001363122,0.001126248,0.002926045,0.0008494904,0.00005274241,0.1260572,0.5398356,0.1262576,0.003001127,0.0006018909,0.1959278],"study_design_scores_gemma":[0.009603429,0.005816895,0.007400828,0.005560725,0.0009797579,0.002456465,0.1899839,0.4721332,0.2834019,0.002117771,0.01464777,0.005897293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914574,0.001316661,0.00337382,0.0003990294,0.0001793333,0.0005242466,0.0005888004,0.0003531767,0.001807512],"genre_scores_gemma":[0.996879,0.0003884604,0.001911332,0.0001711359,0.0001496496,0.00005870396,0.0003700628,0.00004593533,0.0000257076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1900305,"threshold_uncertainty_score":0.9999124,"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."}}