{"id":"W4391611314","doi":"10.1111/mice.13167","title":"Virtual‐real‐fusion simulation framework for evaluating and optimizing small‐spatial‐scale placement of cooperative roadside sensing units","year":2024,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Anhui Province; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Metric (unit); Real-time computing; Point cloud; Simulation; Data mining; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000933791,0.000935131,0.0006965983,0.0006148345,0.0004957512,0.0010783,0.001008875,0.0007808465,0.001075094],"category_scores_gemma":[0.001826878,0.0004487357,0.0008985187,0.0005144089,0.0008076879,0.001067141,0.001511963,0.0007990192,0.0001794287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024458,"about_ca_system_score_gemma":0.001809781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002179,"about_ca_topic_score_gemma":0.006682636,"domain_scores_codex":[0.9995205,0.0001487214,0.00002431173,0.00007867382,0.0001451068,0.00008262208],"domain_scores_gemma":[0.9994016,0.0002562421,0.00008538312,0.00005788169,0.0001321886,0.00006668174],"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":[0.00001480233,0.000006886152,0.0003940234,0.000009063432,0.000006880965,0.00001956708,0.00001810904,0.9949636,0.0006080022,0.001334808,0.00007261765,0.002551561],"study_design_scores_gemma":[0.000001738213,0.00000742536,0.00006609315,0.000001080855,0.000002155887,0.000003473412,0.000007273024,0.9990492,0.0002261859,0.0005223781,0.0001103939,0.000002499411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04327793,0.0001134616,0.9530476,0.0001189649,0.00003414066,0.00004237972,0.00007924525,0.0004653803,0.00282078],"genre_scores_gemma":[0.9262154,0.0001286887,0.07249779,0.00004230578,0.00001142992,0.0001293286,0.0001753061,0.00005452915,0.000745156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01002179,"threshold_uncertainty_score":0.01992697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161287823789952,"score_gpt":0.2424050857467797,"score_spread":0.2307922075088802,"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."}}