{"id":"W2789078895","doi":"10.5539/cis.v11n1p104","title":"Vehicle Scheduling Model Based on Data Mining","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Dijkstra's algorithm; Shortest path problem; Scheduling (production processes); Data mining; Operations research; Mathematical optimization; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009738141,0.0009099338,0.0009589316,0.001067398,0.0006680281,0.001474229,0.002352738,0.0008038649,0.002966336],"category_scores_gemma":[0.002313754,0.0004643368,0.001076082,0.001821893,0.0004858472,0.002088089,0.0007714083,0.001009153,0.0005666331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561937,"about_ca_system_score_gemma":0.002221617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375677,"about_ca_topic_score_gemma":0.007193028,"domain_scores_codex":[0.9990997,0.0001951428,0.00007960716,0.0002855441,0.0002459927,0.00009413451],"domain_scores_gemma":[0.9992576,0.0003229071,0.00009800104,0.0000580617,0.0002088097,0.00005458013],"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":[0.0000439336,0.00003952066,0.0009398762,0.00006717582,0.00004002233,0.000123828,0.00004578591,0.9451491,0.0004175079,0.04053218,0.001278958,0.0113222],"study_design_scores_gemma":[0.000006542893,0.000008173843,0.00006847988,0.000002504226,0.000009206205,0.00001582145,0.00000513182,0.9900343,0.0001232329,0.008922863,0.0007998043,0.000004038447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02137333,0.0003089053,0.9699028,0.0006860613,0.0001330657,0.0001234993,0.00109247,0.0004294139,0.005950495],"genre_scores_gemma":[0.8060082,0.001891074,0.1699309,0.0001813985,0.0002197488,0.0007783255,0.00299656,0.0001308718,0.01786295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01375677,"threshold_uncertainty_score":0.02735335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959637950594604,"score_gpt":0.2896328738785564,"score_spread":0.2400364943726103,"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."}}