{"id":"W2371529211","doi":"","title":"Research on automatic toll charging system based on computer vision","year":2002,"lang":"en","type":"article","venue":"","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Toll; License; Software; Computer science; Computer vision; Artificial intelligence; Sampling (signal processing); Image (mathematics); Image processing; Computer graphics (images); Operating system; Filter (signal processing)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003569378,0.0001233672,0.000137262,0.0003497583,0.00008861817,0.00007406802,0.00009572392,0.00008533306,0.0004996395],"category_scores_gemma":[0.000005737665,0.0001105388,0.00003879669,0.0002671042,0.00001015062,0.00008372905,0.00001356827,0.0002762058,0.005382182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275176,"about_ca_system_score_gemma":0.000002919952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005448786,"about_ca_topic_score_gemma":0.000001372718,"domain_scores_codex":[0.9988061,0.00009019508,0.0001761759,0.0001857665,0.0004217658,0.0003199498],"domain_scores_gemma":[0.9993139,0.0003073354,0.00001207484,0.0002433771,0.00004141331,0.00008190121],"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":[0.00003347563,0.0003635614,0.00005320241,0.002234273,0.00006705763,0.0002633087,0.0003855129,0.5820112,0.004395106,0.002733622,0.04612872,0.361331],"study_design_scores_gemma":[0.0003268321,0.0001615529,0.0003387782,0.0006067809,0.000002674243,0.000007952552,0.00003589989,0.9957322,0.002196813,0.000002926246,0.0004630194,0.0001245064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7586399,0.00002171172,0.0107246,0.0003172383,0.0005275017,0.0004957706,0.000005475168,0.002584717,0.2266831],"genre_scores_gemma":[0.9979865,0.000003109908,0.00158755,0.00008195791,0.0001423263,0.00001762723,0.000005722482,0.00003875246,0.0001364513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137211,"threshold_uncertainty_score":0.9953923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387523956958098,"score_gpt":0.2766920019944895,"score_spread":0.2328167624249085,"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."}}