{"id":"W4310584704","doi":"10.1109/uemcon54665.2022.9965642","title":"Simulation model for packaging time optimation using Lean Manufacturing","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 13th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Lean manufacturing; Manufacturing engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008753271,0.0004822654,0.0004769041,0.0003399435,0.001506818,0.0002396132,0.001035737,0.0001563745,0.0002629581],"category_scores_gemma":[0.00005248079,0.0006236964,0.0001624914,0.0003159911,0.000060573,0.0005505281,0.0003622188,0.0008928655,0.00002282869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008634849,"about_ca_system_score_gemma":0.0002528515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002990467,"about_ca_topic_score_gemma":0.00006150279,"domain_scores_codex":[0.9971135,0.0001658258,0.0008062996,0.0005750005,0.000487446,0.0008518844],"domain_scores_gemma":[0.9976184,0.0003776807,0.0004594569,0.001069887,0.0003344788,0.0001401212],"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":[0.00003616027,0.00006775191,0.00001040526,0.0001196051,0.00005688942,2.202149e-7,0.002872226,0.9841279,0.001017296,0.0003514189,0.0003529816,0.01098716],"study_design_scores_gemma":[0.000566908,0.00008208112,0.000007775584,0.00004442319,0.00006099442,0.000008904596,0.0002269748,0.9855648,0.002312641,0.001201248,0.009273527,0.0006497139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3030974,0.0006626969,0.6939518,0.00003713463,0.0002245404,0.001013521,0.0001038358,0.0006718701,0.0002371537],"genre_scores_gemma":[0.9723749,0.0001896063,0.02487902,0.0001029175,0.0001091474,0.000285123,0.001283137,0.0001446368,0.0006315745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6692774,"threshold_uncertainty_score":0.9997931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638840910526238,"score_gpt":0.2760157878998087,"score_spread":0.2496273787945463,"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."}}