{"id":"W41672188","doi":"","title":"School bus selection, routing and scheduling.","year":2005,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Computer science; Selection (genetic algorithm); School bus; Engineering; Operations management; Artificial intelligence; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007707048,0.0002190397,0.0002817136,0.0002805839,0.0004411628,0.00004874601,0.0002854475,0.0002454105,0.0004878198],"category_scores_gemma":[0.0002287818,0.0003078022,0.00008985187,0.000577958,0.0001042575,0.0008627441,0.0001440157,0.0005232739,0.0001273678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253427,"about_ca_system_score_gemma":0.0000471675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000187896,"about_ca_topic_score_gemma":0.0000710877,"domain_scores_codex":[0.9986593,0.0001276206,0.0002225039,0.0003331081,0.0002755509,0.0003819044],"domain_scores_gemma":[0.9991202,0.00009711738,0.0001046553,0.0002527398,0.0001608084,0.0002644143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001216957,0.0000853069,0.5243859,0.0001874444,0.0002769505,0.00001384587,0.002657231,0.3974546,0.05100629,0.0006177505,0.0004365382,0.02275654],"study_design_scores_gemma":[0.003866439,0.0001199059,0.5419658,0.0002535718,0.0002311549,0.0001240847,0.001587604,0.4208921,0.0196982,0.0002322904,0.009682054,0.001346792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761491,0.0002863808,0.0198047,0.0003304118,0.0001037509,0.0001507001,0.000008478507,0.0004645551,0.002701935],"genre_scores_gemma":[0.8556314,0.00005957106,0.1431752,0.00004852749,0.0001129659,2.655732e-7,0.000006689469,0.00004049447,0.0009248733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1233705,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320153239181234,"score_gpt":0.2198202600312814,"score_spread":0.206618727639469,"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."}}