{"id":"W4380741948","doi":"10.1016/j.ejor.2023.05.038","title":"Fifty years of operational research: 1972–2022","year":2023,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"HEC Montréal; Canada Research Chairs","keywords":"Medal; Operations research; Ceremony; Vehicle routing problem; Gold medal; Routing (electronic design automation); Work (physics); Presentation (obstetrics); Engineering management; Computer science; Seriation (archaeology); Operations management; Engineering; History; Computer network","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00365366,0.001144372,0.0008020228,0.004825949,0.000892958,0.003808288,0.0006381454,0.001297231,0.0411052],"category_scores_gemma":[0.00722081,0.0004441944,0.0006373646,0.00788645,0.001524373,0.002782993,0.002127153,0.001602233,0.01478126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004383473,"about_ca_system_score_gemma":0.003409647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008914749,"about_ca_topic_score_gemma":0.01061642,"domain_scores_codex":[0.9981793,0.0003544145,0.0001636691,0.0002370419,0.0008633221,0.0002023819],"domain_scores_gemma":[0.9955702,0.0008556526,0.0003361618,0.0004078845,0.002366046,0.0004640783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004003082,0.0001056629,0.003038948,0.0009829506,0.0001334931,0.0001174148,0.0001644688,0.002883979,0.0008881483,0.02774525,0.5071881,0.4563513],"study_design_scores_gemma":[0.00000966858,0.00003977015,0.003496541,0.0005819273,0.00002837421,0.00004971529,0.0001256003,0.000306011,0.0002921835,0.002595777,0.9924639,0.0000104407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01557644,0.6144159,0.01206828,0.06173049,0.1012114,0.0001380428,0.009204362,0.0004031025,0.185252],"genre_scores_gemma":[0.1412973,0.4487858,0.007896286,0.01053043,0.03286596,0.0002206434,0.01027685,0.0004784879,0.3476484],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0411052,"threshold_uncertainty_score":0.1375107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2160910097484776,"score_gpt":0.4314162912104397,"score_spread":0.2153252814619621,"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."}}