{"id":"W4404332141","doi":"10.1145/3703919","title":"A Formally Integrated Adaptive Speed Management for Proactive Traffic Safety","year":2024,"lang":"en","type":"article","venue":"ACM Journal on Autonomous Transportation Systems","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Concordia University","funders":"","keywords":"Computer science; Transport engineering; Risk analysis (engineering); Business; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008290147,0.0004473698,0.0003965935,0.0005127703,0.0003963951,0.001176731,0.0009392581,0.0004088705,0.002079227],"category_scores_gemma":[0.002873439,0.0002565362,0.0007906439,0.0002745785,0.0009815346,0.001023105,0.001155065,0.0009052908,0.000338883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007795781,"about_ca_system_score_gemma":0.001874732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003646555,"about_ca_topic_score_gemma":0.002537856,"domain_scores_codex":[0.9992318,0.0002031677,0.00006586654,0.0001528708,0.000280188,0.00006613127],"domain_scores_gemma":[0.9991009,0.0003482972,0.0001235024,0.0001746755,0.0002039911,0.00004858068],"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":[0.00007071649,0.0001249557,0.001496534,0.0001006474,0.00003996949,0.0001311609,0.0002186476,0.7523499,0.01373517,0.1786098,0.0006114892,0.05251108],"study_design_scores_gemma":[0.00001100323,0.00004391677,0.0001171524,0.000009262942,0.00001132416,0.00002068582,0.00001335313,0.97795,0.002036627,0.01764421,0.002133875,0.000008621718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01354059,0.00002873723,0.9831758,0.00006430628,0.00002256605,0.0000495948,0.00004501228,0.0005779,0.002495491],"genre_scores_gemma":[0.619132,0.0001189504,0.3780344,0.00006683535,0.00003673171,0.0001901637,0.0001744452,0.0001217266,0.0021248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003646555,"threshold_uncertainty_score":0.007250667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365197880144224,"score_gpt":0.2206114779347705,"score_spread":0.2069594991333283,"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."}}