{"id":"W1994597293","doi":"10.1016/j.eswa.2010.09.029","title":"Centralized fleet management system for cybernetic transportation","year":2010,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"European Commission","keywords":"Computer science; Interactive kiosk; Scheduling (production processes); Routing (electronic design automation); Operations research; Control (management); Pooling; Computer network; Operations management; Engineering; World Wide Web; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00007597535,0.0001535448,0.0001552834,0.00009242081,0.0001278562,0.00004204071,0.0001329165,0.00007430382,0.00001503936],"category_scores_gemma":[6.301584e-7,0.0001428376,0.00004443159,0.0002912675,0.00003023601,0.0000825808,8.314078e-7,0.00008706704,0.00002710384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004345862,"about_ca_system_score_gemma":0.0000131967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000397103,"about_ca_topic_score_gemma":0.0001940514,"domain_scores_codex":[0.9990642,0.000004967006,0.000364718,0.0002148196,0.0001447918,0.0002064824],"domain_scores_gemma":[0.9993587,0.00002498711,0.0000491024,0.0003696823,0.0001110025,0.00008659087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003616039,0.000145989,0.0006029804,0.001411323,0.0002854293,0.000002329519,0.00173192,0.01864712,0.0239393,0.9448493,0.00451159,0.003836619],"study_design_scores_gemma":[0.002048193,0.00003156985,0.007936834,0.0001054789,0.0001109567,0.00001216939,0.002687825,0.01045835,0.003073211,0.00007666946,0.9729049,0.0005538326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01792114,0.0001453837,0.9702095,0.0001128488,0.0006148553,0.004481328,0.0002638141,0.00136351,0.004887572],"genre_scores_gemma":[0.9698412,0.00001252511,0.01528647,0.00001977849,0.0001226063,0.01383517,0.0005588371,0.00004588578,0.0002775698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9683933,"threshold_uncertainty_score":0.582475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006656007188231658,"score_gpt":0.2221272215749909,"score_spread":0.2154712143867593,"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."}}