{"id":"W4379231690","doi":"10.3390/app13116746","title":"The Role of AI in Warehouse Digital Twins: Literature Review","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Supply chain; Computer science; Production (economics); Process management; Maturity (psychological); Supply chain management; Data science; Risk analysis (engineering); Operations management; Business; Engineering; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.0002272764,0.00005876123,0.00007811403,0.00006120146,0.00004731701,0.000145983,0.0002705519,0.00002901067,0.000003015393],"category_scores_gemma":[0.00001735905,0.0000390008,0.00002058367,0.001341265,0.0001115063,0.0003819926,0.0000179618,0.0001152049,0.00006918007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007990984,"about_ca_system_score_gemma":0.00001441683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.737797e-7,"about_ca_topic_score_gemma":0.00000160651,"domain_scores_codex":[0.9993981,0.000002663457,0.0001828898,0.00007333618,0.0001909047,0.0001521385],"domain_scores_gemma":[0.9997833,0.00007123072,0.00001409662,0.0001000911,0.00001081511,0.00002044852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008266667,0.00005478834,0.003347984,0.002309903,0.00003987104,0.00001038999,0.005224708,0.04369342,0.002435855,0.2321021,0.03944959,0.6713231],"study_design_scores_gemma":[0.0006034352,0.00008391698,0.004574108,0.007567321,0.00001469265,0.00002051934,0.008202824,0.01251865,0.02003054,0.0823736,0.8629619,0.00104852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07876982,0.02117062,0.00004993589,0.0009003225,0.0003077773,0.0005698586,0.00004613044,0.0006238304,0.8975617],"genre_scores_gemma":[0.9974982,0.002315749,0.00001341616,0.00006781843,0.00001270915,0.00002969169,0.000004254025,0.000005234623,0.0000529754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9187284,"threshold_uncertainty_score":0.1590406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152907843434542,"score_gpt":0.2337611553221894,"score_spread":0.2222320768878439,"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."}}