{"id":"W3205122045","doi":"10.1002/net.22112","title":"The consistent production routing problem","year":2022,"lang":"en","type":"article","venue":"Networks","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Mathematical optimization; Consistency (knowledge bases); Computer science; Routing (electronic design automation); Local consistency; Production (economics); Heuristic; Consistency model; Linear programming; Mathematics; Data consistency; Distributed computing; Constraint satisfaction; Probabilistic logic","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":[0.0008726623,0.00006858355,0.0000621839,0.00001637117,0.0006253587,0.00004071305,0.0001141707,0.00002152393,0.00002924914],"category_scores_gemma":[0.00003705607,0.00006020413,0.00002930039,0.0002527366,0.00001876963,0.00003186847,0.00006716164,0.0002991251,0.000002627894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009690973,"about_ca_system_score_gemma":0.000008859164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001868013,"about_ca_topic_score_gemma":0.000002171145,"domain_scores_codex":[0.9992574,0.0001275327,0.0001632422,0.0001121069,0.0001319656,0.000207781],"domain_scores_gemma":[0.9996443,0.00009004565,0.0000343358,0.000183854,0.00002358951,0.0000238323],"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":[0.000002190372,0.000003179592,0.0003039475,0.000002599009,0.00001164565,5.1234e-7,0.00009683036,0.9655225,0.00003269562,0.0005115833,0.004272928,0.02923935],"study_design_scores_gemma":[0.00006135728,0.000009082506,0.0001802264,0.000004108119,0.000006739934,0.00001434495,0.0001314241,0.972374,0.0000389153,0.00007885481,0.02702343,0.00007750632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03342851,0.003836206,0.9074754,0.002658521,0.01042742,0.001477246,0.000003439974,0.003206238,0.03748709],"genre_scores_gemma":[0.9850881,0.00005156992,0.01361589,0.00005440488,0.0003262947,0.0001075613,0.00000564897,0.00003518624,0.0007154249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9516595,"threshold_uncertainty_score":0.4809816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117547877960616,"score_gpt":0.221635340453402,"score_spread":0.2098805526573404,"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."}}