{"id":"W4288840643","doi":"10.1007/978-3-031-01501-4","title":"Narrow Tilting Vehicles","year":2019,"lang":"en","type":"book","venue":"Synthesis lectures on advances in automotive technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0002762274,0.0009737579,0.00130429,0.001681547,0.00007778159,0.00003469277,0.001091289,0.001902924,0.0001836244],"category_scores_gemma":[0.0006168772,0.0009853804,0.0002308028,0.0005411801,0.0003643037,0.0001604899,0.0001551844,0.002622972,0.0006169991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224731,"about_ca_system_score_gemma":0.000129204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001131289,"about_ca_topic_score_gemma":0.0001069382,"domain_scores_codex":[0.9967899,0.00008919289,0.0006435417,0.0009786829,0.0004143035,0.001084421],"domain_scores_gemma":[0.9975575,0.0009646377,0.000236138,0.001087708,0.00007893797,0.00007511548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002619399,0.00003774305,0.00007332582,0.0004064904,0.0001445425,0.0001827554,0.00006247441,0.8282337,0.0003049433,0.004673928,0.007605005,0.1582489],"study_design_scores_gemma":[0.000642117,0.0003021982,0.0001078435,0.003738581,0.0001316556,0.0001066384,0.00005711082,0.05811233,0.02596204,0.06857207,0.8396655,0.002601877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004038918,0.1061272,0.001512807,0.0005829861,0.002902225,0.002128585,0.0001374824,0.007940921,0.8746289],"genre_scores_gemma":[0.8606148,0.01002258,0.006961577,0.0007230937,0.001186132,0.001015519,0.0001346538,0.001820664,0.117521],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8565759,"threshold_uncertainty_score":0.999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003682663388374666,"score_gpt":0.2085916948479876,"score_spread":0.2049090314596129,"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."}}