{"id":"W4296211873","doi":"10.1109/tits.2022.3202111","title":"Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Fuzzy logic; Operator (biology); Autonomous system (mathematics); Computer science; Transport engineering; Bonferroni correction; Operations research; Engineering; Artificial intelligence; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.0003792614,0.0003757134,0.0003782519,0.0009288554,0.0004290144,0.0001057059,0.0002514852,0.0001197395,0.0002566984],"category_scores_gemma":[0.000002281767,0.0004488734,0.0001730522,0.0009141643,0.00004131569,0.0004211304,4.099487e-7,0.0005454562,0.00001619148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000808369,"about_ca_system_score_gemma":0.0002065626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002117674,"about_ca_topic_score_gemma":0.0007960613,"domain_scores_codex":[0.9971288,0.00009478797,0.001273972,0.0005000037,0.000637171,0.0003652223],"domain_scores_gemma":[0.9991711,0.0001027233,0.0001137408,0.0003639637,0.0001459349,0.0001025021],"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":[0.0001109709,0.0002800158,0.0003874215,0.00007598061,0.00005414139,0.00001288801,0.004469498,0.988143,0.003737769,0.00081305,0.00002020508,0.001895019],"study_design_scores_gemma":[0.0008430948,0.00007944562,0.0007591927,0.0001476657,0.00005591116,0.000005055487,0.002236522,0.9875726,0.007557986,0.00003978615,0.0002521711,0.0004505825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3911643,0.00007568878,0.6060919,0.00001723854,0.001164338,0.0007172949,0.0004219816,0.0002718668,0.00007540374],"genre_scores_gemma":[0.9963842,0.00002255466,0.002335678,0.00008791286,0.00003286592,0.0008017168,0.0001764414,0.00009066765,0.00006793029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.60522,"threshold_uncertainty_score":0.9997963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322803963380815,"score_gpt":0.2759650997978764,"score_spread":0.2427370601640682,"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."}}