{"id":"W4250254638","doi":"10.4018/9781605660561.ch040","title":"Developing an Online Fleet Management Service","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Service (business); Computer science; Process management; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007377379,0.0003604929,0.0001388494,0.0009540925,0.002303038,0.002999213,0.00126606,0.002378107,0.08194806],"category_scores_gemma":[0.00118128,0.0002000312,0.0004092952,0.001166824,0.0005612334,0.005104349,0.002531857,0.001561699,0.02574295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377613,"about_ca_system_score_gemma":0.001952813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006433513,"about_ca_topic_score_gemma":0.01057828,"domain_scores_codex":[0.9994212,0.0001086648,0.00001753499,0.00005707077,0.0002423287,0.0001531491],"domain_scores_gemma":[0.9996135,0.00006989748,0.0000229228,0.00005204673,0.00008840632,0.000153374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006651507,0.0007413632,0.003479428,0.0002931537,0.000009397207,0.007655965,0.006918257,0.001872058,0.007760415,0.1803136,0.310842,0.4800478],"study_design_scores_gemma":[0.000005627964,0.00004645883,0.0005641312,0.00007477862,0.000003569976,0.001330305,0.00195349,0.002533671,0.000962023,0.00317112,0.9893399,0.00001497148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02338502,0.0004423007,0.03710798,0.006480711,0.000700322,0.0003643749,0.000306501,0.001444644,0.9297681],"genre_scores_gemma":[0.1545314,0.001291171,0.06455306,0.002206509,0.000207378,0.0001786748,0.001033515,0.0005702127,0.7754281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08194806,"threshold_uncertainty_score":0.2741436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710849774552462,"score_gpt":0.2560240090891921,"score_spread":0.1989155113436675,"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."}}