{"id":"W2897103706","doi":"10.1109/soli.2018.8476760","title":"An Overview of Warehousing Applications based on Cable Robot Technology in Logistics","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; University of Waterloo; National Aeronautics and Space Administration","keywords":"Economic shortage; Robot; Robotics; Competition (biology); Manufacturing engineering; Computer science; Artificial intelligence; Business; Industrial organization; Engineering; Engineering management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003998159,0.00006644924,0.00009296681,0.0001579074,0.00002432543,0.000004460084,0.00008197429,0.00006679149,0.00003298571],"category_scores_gemma":[0.00001968872,0.00006652082,0.000008263129,0.0002230288,0.00005735573,0.00002928487,0.000007075349,0.00006493081,0.000007276935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003977103,"about_ca_system_score_gemma":0.000008158599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001964085,"about_ca_topic_score_gemma":0.00003640042,"domain_scores_codex":[0.9996177,0.00000468287,0.0001278495,0.00009737821,0.00004329305,0.0001091239],"domain_scores_gemma":[0.9996587,0.00002524251,0.00001956302,0.0002432813,0.00003523782,0.00001794731],"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":[0.000001721884,0.00002778635,0.00007939088,0.00003051661,0.000001127091,2.828559e-7,0.000006714521,0.988443,0.0003718151,0.007794971,0.00001356087,0.003229181],"study_design_scores_gemma":[0.0001184915,0.00006354252,0.0001300755,0.00002303554,0.000003488726,3.003829e-7,0.00001589789,0.9726946,0.02148237,0.004770395,0.0006122989,0.00008544329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002444135,0.00005423493,0.9958041,0.00002622444,0.00003409324,0.00009971198,0.000003680403,0.0002511051,0.003482439],"genre_scores_gemma":[0.8514583,0.00003639944,0.1484091,0.00002565475,0.00001941333,0.00001522812,0.000009398748,0.0000129048,0.00001360858],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8512139,"threshold_uncertainty_score":0.271264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007166597201679,"score_gpt":0.3062315470267061,"score_spread":0.2661598810546893,"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."}}