{"id":"W1527472118","doi":"10.1109/ccece.2015.7129366","title":"Design and implementation of a robotic car to recognize traffic signs","year":2015,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Laptop; Computer science; Microcontroller; Simple (philosophy); Fuzzy logic; Real-time computing; Controller (irrigation); Embedded system; Matching (statistics); Computer hardware; Artificial intelligence; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0009407427,0.0000579173,0.0001114284,0.00006456256,0.00001863311,0.00003771654,0.0001596267,0.00001785135,0.000005639747],"category_scores_gemma":[0.00003827713,0.00004991428,0.00001394008,0.0002378315,0.000009041982,0.0001642323,0.00004910248,0.00002409698,0.000009345214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246119,"about_ca_system_score_gemma":0.00005608238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004321237,"about_ca_topic_score_gemma":0.00004243335,"domain_scores_codex":[0.999308,0.0001515367,0.0001393989,0.0001740852,0.0001047498,0.0001221569],"domain_scores_gemma":[0.9995111,0.0001105133,0.00003526817,0.0001647383,0.00008156859,0.00009684046],"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":[0.00001317619,0.00003958582,0.00264026,0.00001863207,0.00002793685,0.000005469426,0.007659141,0.03607642,0.00521824,0.002097477,0.002173462,0.9440302],"study_design_scores_gemma":[0.01060626,0.01101715,0.08539509,0.0001549856,0.0001193177,0.0002090451,0.007819684,0.5388032,0.3020098,0.03846119,0.002737361,0.00266701],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07398709,0.00003543261,0.9250739,0.000479655,0.0001025461,0.0001688717,1.901389e-7,0.00004998354,0.0001023438],"genre_scores_gemma":[0.5565832,0.000001737924,0.4432702,0.00009781179,0.000008080928,0.000004835009,2.339254e-7,0.000002342472,0.00003163583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9413632,"threshold_uncertainty_score":0.2035445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002133645008239,"score_gpt":0.3570333119695475,"score_spread":0.2568199474687235,"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."}}