{"id":"W4224251356","doi":"10.1155/2022/5829607","title":"Development and Testing of Road Signs Alert System Using a Smart Mobile Phone","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Computer science; Limiting; Phone; Smart phone; Transport engineering; Intelligent transportation system; Computer security; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003942451,0.0003811276,0.0003589525,0.0004607387,0.0002110838,0.0003789616,0.0006505176,0.0005968079,0.002812114],"category_scores_gemma":[0.001337725,0.0001701623,0.0002669323,0.0002174453,0.0001773916,0.0006492894,0.0002833366,0.0001831932,0.0009580919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728641,"about_ca_system_score_gemma":0.0002815913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009023,"about_ca_topic_score_gemma":0.0008837062,"domain_scores_codex":[0.9995241,0.00008821054,0.00005958046,0.0001138642,0.0001610596,0.00005309575],"domain_scores_gemma":[0.999333,0.0001361943,0.00005227774,0.00008240443,0.0003511286,0.00004504397],"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":[0.001296846,0.001876379,0.05265369,0.001776746,0.0002172878,0.002069092,0.001795623,0.009378354,0.7081386,0.001003656,0.003425742,0.216368],"study_design_scores_gemma":[0.0003878662,0.0209582,0.1299081,0.0001766312,0.0005174211,0.002763317,0.002074067,0.1301058,0.6956168,0.0004138341,0.01690525,0.0001727734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9592174,0.0001966902,0.03576946,0.0001346021,0.0001058435,0.000766294,0.0004074988,0.001154847,0.002247365],"genre_scores_gemma":[0.959181,0.0001729356,0.0360919,0.000107493,0.00001674744,0.0003456625,0.0003570834,0.00002784685,0.003699479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002812114,"threshold_uncertainty_score":0.009407461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488660658361052,"score_gpt":0.2202134193138464,"score_spread":0.2053268127302358,"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."}}