{"id":"W54342940","doi":"10.12681/eadd/16165","title":"Σχεδιασμός και αξιολόγηση ενός συστήματος διαχείρισης στόλου οχημάτων σε πραγματικό χρόνο για την αντιμετώπιση δυναμικών γεγονότων κατά την εκτέλεση αστικών διανομών προϊόντων","year":2008,"lang":"el","type":"dissertation","venue":"","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Petroleum Technology Research Centre; University of Washington; Washington State University","keywords":"Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001526486,0.006352978,0.005408016,0.003122462,0.002183956,0.001241549,0.005872055,0.005484391,0.002978866],"category_scores_gemma":[0.001434178,0.00693706,0.001877143,0.003969894,0.0008933434,0.004330184,0.00121883,0.006809031,0.004586075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649932,"about_ca_system_score_gemma":0.001557351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890405,"about_ca_topic_score_gemma":0.002065893,"domain_scores_codex":[0.9784755,0.0005400747,0.005660156,0.005810238,0.004075571,0.00543844],"domain_scores_gemma":[0.9862369,0.001050428,0.00237187,0.006510738,0.001910031,0.001920006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002897182,0.005353507,0.003568761,0.01876018,0.006742128,0.004206036,0.01740923,0.009409837,0.07755216,0.02022578,0.4715338,0.3623413],"study_design_scores_gemma":[0.008406287,0.001983007,0.009572771,0.009086946,0.002456336,0.00157214,0.007110804,0.02036681,0.1667284,0.009101408,0.7394931,0.02412202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1081646,0.04946421,0.3150375,0.002038733,0.02648907,0.01746854,0.006088594,0.05516791,0.4200808],"genre_scores_gemma":[0.4936466,0.05528576,0.2855118,0.002837116,0.006725048,0.004021107,0.03734513,0.007235764,0.1073916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.385482,"threshold_uncertainty_score":0.9997953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286511861286137,"score_gpt":0.2737869675478727,"score_spread":0.2609218489350113,"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."}}