{"id":"W4246095845","doi":"10.22215/etd/2014-10203","title":"Probabilistic Analysis and Design of Freeway Deceleration Speed Change Lanes","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Federal Highway Administration; U.S. Department of Transportation","keywords":"Probabilistic logic; Reliability (semiconductor); Probabilistic analysis of algorithms; Imperfect; Design speed; Engineering; Geometric design; Simulation; Computer science; Transport engineering; Artificial intelligence","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":[0.002226539,0.0006785319,0.0004354533,0.001245145,0.0003371568,0.0008126937,0.0009841382,0.000563258,0.001273335],"category_scores_gemma":[0.005321139,0.0009068819,0.001030807,0.000543414,0.0006303528,0.0008358127,0.0007491626,0.000562755,0.0002163204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008331005,"about_ca_system_score_gemma":0.001109198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002875824,"about_ca_topic_score_gemma":0.003338928,"domain_scores_codex":[0.9980202,0.0006854004,0.00006852667,0.0002031591,0.0008925549,0.0001301963],"domain_scores_gemma":[0.9974346,0.001565296,0.0003450445,0.0001501699,0.0004601284,0.00004478291],"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":[0.00003077008,0.00001533841,0.001098498,0.00005396548,0.00001950979,0.00002432387,0.00004072794,0.9748116,0.001829784,0.007124062,0.0001392966,0.01481227],"study_design_scores_gemma":[0.000009383436,0.0001164607,0.0008168861,0.00001220869,0.00002198668,0.00004107477,0.0000257765,0.9867931,0.002043826,0.008406619,0.001699789,0.00001285607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03972769,0.0002159045,0.9559402,0.00006183737,0.000009922393,0.0001080684,0.00008322532,0.0001827544,0.003670363],"genre_scores_gemma":[0.8466173,0.0003641479,0.1508763,0.00002843777,0.0000124303,0.000272308,0.0001784397,0.00006377087,0.001586838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002875824,"threshold_uncertainty_score":0.01177526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132376316696945,"score_gpt":0.2227409755329169,"score_spread":0.2014172123659475,"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."}}