{"id":"W2376987980","doi":"","title":"A Binary-Conversion Method of License Plate Based on Cooperating With Luminance & Chroma","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Luminance; License; Binary number; Computer vision; Artificial intelligence; Segmentation; Wavelet; Mathematics; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008600144,0.0001605511,0.0001695517,0.0001177341,0.0000793093,0.00002058065,0.0001288211,0.00007014914,0.00002806377],"category_scores_gemma":[3.009373e-7,0.0001587025,0.00003934028,0.0003271397,0.00002507289,0.0001035971,0.00001791083,0.0001439107,0.0001316555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006516073,"about_ca_system_score_gemma":0.000018075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005317316,"about_ca_topic_score_gemma":0.000004427737,"domain_scores_codex":[0.9992436,0.00002134355,0.0002204791,0.0002321347,0.00009944517,0.0001829989],"domain_scores_gemma":[0.9994871,0.00009166038,0.00005815027,0.0002324241,0.00007662026,0.00005402749],"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":[0.00003341722,0.000180893,0.0001147777,0.0001781176,0.00004116306,0.000003166155,0.0003069454,0.4106722,0.308846,0.00007382427,0.0008376231,0.2787119],"study_design_scores_gemma":[0.0006099999,0.00006947122,0.000767278,0.00009845225,0.00002049264,0.00002401731,0.000009267967,0.7475172,0.2122824,0.00000285166,0.03840602,0.0001925065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2300754,0.00003625218,0.768312,0.0001408377,0.000007537917,0.0005028386,0.00002676796,0.0002452814,0.0006529905],"genre_scores_gemma":[0.4722846,0.000007018478,0.5272601,0.0001416739,0.00008006812,0.0001333234,0.00004412155,0.00003126531,0.00001779783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.336845,"threshold_uncertainty_score":0.6471699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005213429438352347,"score_gpt":0.2110697873774951,"score_spread":0.2058563579391427,"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."}}