{"id":"W2282554914","doi":"10.1080/03155986.2017.1346916","title":"Strong mixed-integer formulations for the floor layout problem","year":2017,"lang":"en","type":"preprint","venue":"INFOR Information Systems and Operational Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Integer programming; Mathematical optimization; Computer science; Integer (computer science); Perspective (graphical); Mathematics; Artificial intelligence; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003677496,0.002551788,0.0009912396,0.000968583,0.0005726271,0.0030148,0.002244795,0.002059391,0.009628067],"category_scores_gemma":[0.006837444,0.0009718317,0.001671566,0.001549606,0.001240159,0.003080413,0.002233507,0.0040743,0.001611757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607353,"about_ca_system_score_gemma":0.002046802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484473,"about_ca_topic_score_gemma":0.002730106,"domain_scores_codex":[0.997725,0.001043078,0.0001220713,0.000316291,0.0005610486,0.0002326692],"domain_scores_gemma":[0.9968084,0.002172237,0.0003668908,0.0001762949,0.0003567903,0.0001193471],"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":[0.00005038668,0.0001042982,0.000251258,0.0004305759,0.00005283915,0.0001630814,0.00009541536,0.4974224,0.0008799204,0.4646911,0.008707184,0.02715147],"study_design_scores_gemma":[0.00002392586,0.00004786385,0.00009071985,0.00008883681,0.00001965979,0.00004898582,0.00004977062,0.8276184,0.0004428861,0.1621765,0.009377017,0.00001548089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002153185,0.0006070567,0.9814112,0.0006987959,0.0001196365,0.00008248309,0.0003473673,0.00007608799,0.01450431],"genre_scores_gemma":[0.2123777,0.003220258,0.7608454,0.001114106,0.0006785609,0.001139285,0.001369552,0.0002721313,0.01898301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009628067,"threshold_uncertainty_score":0.03220904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08399260016169396,"score_gpt":0.3562891410121057,"score_spread":0.2722965408504117,"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."}}