{"id":"W3141221318","doi":"","title":"LOCAL ROAD SAFETY PLANS: GUIDELINES AND BEST PRACTICES","year":2013,"lang":"en","type":"article","venue":"","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Plan (archaeology); Business; Transport engineering; Environmental planning; Local government; Best practice; Engineering; Political science; Public administration; Geography; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006011279,0.00008259953,0.0001032926,0.00004130459,0.00003365901,0.0000349302,0.00004403204,0.00004441839,0.001216502],"category_scores_gemma":[0.00002815998,0.00006619845,0.00002699574,0.00009344338,0.00002110145,0.0004900835,0.000003043568,0.00005712477,0.0002847709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007152195,"about_ca_system_score_gemma":0.000005679008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311755,"about_ca_topic_score_gemma":0.0007168633,"domain_scores_codex":[0.9994996,0.000005725389,0.0002241376,0.00007727114,0.00008350271,0.0001097355],"domain_scores_gemma":[0.9997085,0.00003442008,0.00003447558,0.00008918585,0.00006031035,0.00007313849],"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":[0.0000392788,0.00008962047,0.01760284,0.000186656,0.0006876643,0.000009949038,0.001312527,0.1398111,0.004196972,0.001689464,0.03244809,0.8019258],"study_design_scores_gemma":[0.001031743,0.0001029524,0.2191807,0.00006597566,0.0002803874,0.00002626706,0.005997017,0.5121455,0.002256986,0.0003401626,0.2577646,0.0008077724],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4075446,0.002367944,0.4943693,0.006548959,0.0002795276,0.0003498995,0.00005173388,0.0008729795,0.08761501],"genre_scores_gemma":[0.9948841,0.0009695339,0.002811908,0.0001718765,0.00004116859,0.000005637564,0.00001933283,0.00001052393,0.001085907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.801118,"threshold_uncertainty_score":0.9996965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166244174519357,"score_gpt":0.2931717916943938,"score_spread":0.2515093499492002,"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."}}