{"id":"W2329552137","doi":"10.1061/9780784413036.110","title":"Research on New Method of Collision Warning of Bridge","year":2013,"lang":"en","type":"article","venue":"","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Bridge (graph theory); Collision; Warning system; Computer science; Key (lock); Reliability (semiconductor); Collision avoidance; Hazardous waste; Engineering; Computer security; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004062365,0.00005202,0.0001200659,0.00006742623,0.00004465472,0.000007269982,0.0002368612,0.00007381728,0.02083473],"category_scores_gemma":[0.0007120144,0.00004154437,0.00003254938,0.0004079088,0.00008974125,0.00009182786,0.0001885971,0.0001815205,0.0006973023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005546334,"about_ca_system_score_gemma":0.00002343752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006934979,"about_ca_topic_score_gemma":0.00004174554,"domain_scores_codex":[0.9979862,0.0006737959,0.0002398102,0.0001798996,0.0007669774,0.0001533032],"domain_scores_gemma":[0.9982749,0.001240327,0.00007488355,0.0003019816,0.00004002408,0.00006792632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004084533,0.0002034907,0.03457495,0.00002736085,0.00001635655,6.746474e-7,0.002470911,0.04496213,0.3496336,0.009695415,0.1539772,0.404397],"study_design_scores_gemma":[0.0004724137,0.0005996609,0.3534724,0.00004313279,0.000007555232,0.000001876436,0.0003734489,0.02948895,0.5842552,0.02762191,0.003516322,0.0001471446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3595478,0.000006659761,0.3964511,0.0007480352,0.00006512186,0.0003604696,5.703914e-7,0.00001546141,0.2428048],"genre_scores_gemma":[0.3902752,0.000005695953,0.6011959,0.00008805338,0.00001315386,0.000006056361,4.310026e-7,0.000006021857,0.008409492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4042499,"threshold_uncertainty_score":0.999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2126233686992209,"score_gpt":0.5097397668407346,"score_spread":0.2971163981415138,"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."}}