{"id":"W2283779348","doi":"","title":"An improved two-stage optimization-based framework for unequal-areas facility layout","year":2015,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Facility location problem; Mathematical optimization; Computer science; Position (finance); Optimization problem; Scale (ratio); Regular polygon; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004499233,0.0003753332,0.0003319456,0.0002204788,0.0001623373,0.0001621076,0.0003519883,0.0003284828,0.00002262808],"category_scores_gemma":[0.0005560565,0.0004089858,0.0001057737,0.0002627374,0.00006013845,0.0003382866,0.0000340963,0.0003439835,0.000004873073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935345,"about_ca_system_score_gemma":0.0001543513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008375099,"about_ca_topic_score_gemma":0.0004044398,"domain_scores_codex":[0.9982699,0.00006141394,0.0004236887,0.000414605,0.0002151927,0.0006152695],"domain_scores_gemma":[0.9981612,0.0001816308,0.0001199664,0.0008588436,0.0002174919,0.0004608565],"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":[0.00009047132,0.00008626381,0.0007216918,0.00005298244,0.00001992633,0.000003425042,0.0001115824,0.9919304,0.0001030024,0.005044675,0.0001555427,0.001680049],"study_design_scores_gemma":[0.0008011331,0.000147925,0.0001231252,0.0000194543,0.00002652899,0.000001624415,0.00008830085,0.9900221,0.0040718,0.003607332,0.0006269343,0.0004637373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001923817,0.0001804475,0.9934599,0.0002036162,0.0002448945,0.0009011549,0.000440401,0.002431122,0.000214686],"genre_scores_gemma":[0.4888632,0.000008374211,0.5099399,0.0002664996,0.00007817909,0.0003677918,0.0003494917,0.00006187998,0.00006464669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4869394,"threshold_uncertainty_score":0.9998362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804266650469315,"score_gpt":0.258100852899208,"score_spread":0.2400581863945148,"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."}}