{"id":"W7117710164","doi":"10.1080/00207543.2025.2609176","title":"Sustainable robotic mobile fulfillment system with pod repositioning in warehousing 5.0","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; GLS Industries (Canada); Université Laval; Transport Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Warehouse; Mobile robot; Production (economics); Robot; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004013815,0.0007721485,0.0005134803,0.000271443,0.000486474,0.0007639669,0.000771606,0.0006496512,0.002271164],"category_scores_gemma":[0.0004714947,0.0002960748,0.0004751572,0.0003114577,0.0004022624,0.0007021908,0.0007869164,0.000462958,0.0002781678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007737642,"about_ca_system_score_gemma":0.001106819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005639323,"about_ca_topic_score_gemma":0.007483006,"domain_scores_codex":[0.9997458,0.00005017946,0.000009040019,0.00005377892,0.00006723159,0.0000739944],"domain_scores_gemma":[0.9998521,0.00005126574,0.00002784704,0.00002112356,0.00001944296,0.00002818131],"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":[0.0001121294,0.00006424679,0.000558522,0.00005633991,0.00001519556,0.0001371253,0.00004018989,0.9695049,0.005414086,0.002815671,0.0004057853,0.0208759],"study_design_scores_gemma":[0.00001391805,0.0001478582,0.0003800862,0.000005468788,0.00000688008,0.00003133763,0.00004162901,0.9950975,0.001831442,0.001184553,0.001250189,0.00000919856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4056194,0.000321459,0.5776893,0.0003212218,0.0000611412,0.0002404469,0.000233162,0.0009427891,0.01457109],"genre_scores_gemma":[0.9606579,0.00007642497,0.03589379,0.00002608962,0.000005752266,0.00006372843,0.00007827734,0.00001798263,0.003180118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005639323,"threshold_uncertainty_score":0.011213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757510012804174,"score_gpt":0.3244654134517901,"score_spread":0.3068903133237483,"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."}}