{"id":"W65289889","doi":"","title":"Protecting Critical Infrastructure by Blocking Suspicious Vehicle with Probabilistic Route Choice Behavior","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blocking (statistics); Computer science; Probabilistic logic; Block (permutation group theory); Path (computing); Reliability (semiconductor); Scheme (mathematics); Monte Carlo method; Mathematical optimization; Computer network; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005803077,0.0005054228,0.0003713564,0.0005099424,0.0002692344,0.0005082834,0.0008349534,0.0004537933,0.0007955522],"category_scores_gemma":[0.001875476,0.0003106751,0.0003894078,0.0003604299,0.0006596661,0.0006314643,0.0003661996,0.0003415213,0.0001299018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006833422,"about_ca_system_score_gemma":0.001004937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408636,"about_ca_topic_score_gemma":0.004226292,"domain_scores_codex":[0.9994831,0.000147512,0.00002141481,0.00008192696,0.0001868748,0.00007918619],"domain_scores_gemma":[0.9990127,0.0004740677,0.0002684331,0.0000612623,0.0001410506,0.000042456],"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":[0.00007528791,0.00003896762,0.001780941,0.00004820605,0.00002770295,0.0001044936,0.00008180106,0.9569198,0.008640342,0.0145272,0.000238958,0.01751635],"study_design_scores_gemma":[0.000008087754,0.00006180808,0.0003265879,0.000003092105,0.00001700012,0.0000607727,0.00001945037,0.9939572,0.002389805,0.002666312,0.0004818826,0.000008050702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07244197,0.00004983272,0.9252807,0.00006915822,0.000006884904,0.00004811819,0.00002138964,0.0001602188,0.001921681],"genre_scores_gemma":[0.8911949,0.0000912066,0.1070513,0.00002106155,0.00000922639,0.00007643976,0.00005310494,0.00003130011,0.001471506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00408636,"threshold_uncertainty_score":0.008125126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878805854091043,"score_gpt":0.3167470598232971,"score_spread":0.2979590012823867,"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."}}