{"id":"W2046289221","doi":"10.1142/s0219686709001705","title":"OPTIMIZATION OF MACHINE LOCATION: AN IMPROVED HEURISTIC SOLUTION APPROACH","year":2009,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing Systems","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Heuristic; Diagonal; Mathematical optimization; Basis (linear algebra); Matrix (chemical analysis); Product (mathematics); Computer science; Mathematics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007994153,0.0009618555,0.001119591,0.001283776,0.0004463954,0.0007551555,0.001723544,0.001478791,0.004030271],"category_scores_gemma":[0.001830639,0.0005856968,0.0008374462,0.001342778,0.0004467851,0.0006713303,0.0006160872,0.0009775581,0.0006898203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009478566,"about_ca_system_score_gemma":0.002005839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007385585,"about_ca_topic_score_gemma":0.007856146,"domain_scores_codex":[0.9993942,0.0002163223,0.00002293725,0.00008080952,0.0002001446,0.00008552738],"domain_scores_gemma":[0.9995933,0.0001717947,0.00004610768,0.00004197211,0.0001349357,0.00001195086],"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":[0.00004448745,0.00006021999,0.0001681867,0.00008657309,0.00003170037,0.00007168016,0.00004800492,0.9199266,0.002442014,0.01107776,0.001568229,0.06447457],"study_design_scores_gemma":[0.00002446416,0.00003424454,0.00006011617,0.000009034844,0.00001181755,0.0000208503,0.00001129904,0.995112,0.0009097928,0.001922952,0.001875783,0.000007598131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008656505,0.000136887,0.9855168,0.00009588682,0.0000473766,0.00008805768,0.00005169638,0.0003346523,0.00507211],"genre_scores_gemma":[0.1541236,0.0002827801,0.8394195,0.000133011,0.00005566582,0.0003902574,0.0001184397,0.000106362,0.005370302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007385585,"threshold_uncertainty_score":0.01468521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00854790499338163,"score_gpt":0.2186582666622481,"score_spread":0.2101103616688664,"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."}}