{"id":"W3198901686","doi":"","title":"Designing a New Warehouse to Improve Space Utilization and Handling Efficiency: A Case Study of a Production Warehouse","year":2021,"lang":"en","type":"article","venue":"Lund University Publications Student Papers (Lund University)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Production (economics); Warehouse; Space (punctuation); Material handling; Data warehouse; Process (computing); Manufacturing engineering; Engineering; Operations management; Computer science; Process management; Business; Database; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003695591,0.0005915925,0.0004433218,0.00127227,0.00425266,0.004673662,0.002390989,0.002977893,0.002779284],"category_scores_gemma":[0.004877253,0.0004715178,0.0007118881,0.001797337,0.002307308,0.003300044,0.001955875,0.001432434,0.0005139695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003643472,"about_ca_system_score_gemma":0.002597135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006590277,"about_ca_topic_score_gemma":0.01200543,"domain_scores_codex":[0.9967511,0.001888467,0.000134114,0.0002383481,0.000590002,0.0003980708],"domain_scores_gemma":[0.9955105,0.002797523,0.0003460693,0.0002988256,0.0005326626,0.0005144931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002195047,0.01053092,0.08273435,0.004682858,0.0003475444,0.1367887,0.2949423,0.1006602,0.05457024,0.0638652,0.02982349,0.2188593],"study_design_scores_gemma":[0.0004710476,0.006341984,0.04266734,0.001331352,0.0002724202,0.01720156,0.6016652,0.08458363,0.03445221,0.008246775,0.2023396,0.000426944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719335,0.0003933842,0.01284716,0.001472852,0.00005447291,0.0006106102,0.0001476412,0.00005109512,0.01248936],"genre_scores_gemma":[0.9641554,0.0007275081,0.02624995,0.0001835181,0.0000218915,0.0002228829,0.0001666012,0.00004187881,0.008230494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006590277,"threshold_uncertainty_score":0.02643532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090415378642113,"score_gpt":0.2248492024624323,"score_spread":0.2039450486760112,"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."}}