{"id":"W1981667848","doi":"10.1016/j.compind.2004.07.005","title":"Integration of reverse logistics activities within a supply chain information system","year":2004,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Integrated logistics support; Reverse logistics; Process management; Redistribution (election); Supply chain; Logistics center; Supply chain management; Information system; Humanitarian Logistics; Materials management; Engineering management; Business; Systems engineering; Knowledge management; Computer science; Operations management; Engineering; Operations research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004789,0.0001633926,0.0002062318,0.0006795882,0.00006227192,0.0001601993,0.0002666976,0.0002025772,0.00001166281],"category_scores_gemma":[0.0001185467,0.0001676776,0.00004023593,0.0006669203,0.00007597871,0.001627286,0.0002097136,0.000377799,0.00001989297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057644,"about_ca_system_score_gemma":0.00005511232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009613169,"about_ca_topic_score_gemma":0.00003747108,"domain_scores_codex":[0.9989053,0.00001461202,0.0004556104,0.0001489072,0.0002545028,0.0002210779],"domain_scores_gemma":[0.9992335,0.00003208087,0.00036964,0.0002435291,0.0001111872,0.000009993391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001188201,0.0001488447,0.01486992,0.002838253,0.00005619314,0.00009289192,0.003007861,0.3755841,0.0000889833,0.5871221,0.006602269,0.009469707],"study_design_scores_gemma":[0.01298742,0.000210989,0.04254619,0.008970886,0.0002545417,0.00003867091,0.3965887,0.4853383,0.001958389,0.02776967,0.02064683,0.00268938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840844,0.0000136241,0.1996419,0.001244193,0.0021999,0.001005404,0.00000710793,0.0002890637,0.0115144],"genre_scores_gemma":[0.9955472,6.824893e-7,0.003369404,0.0006715239,0.0002899061,0.00002537995,0.00004253723,0.00001190161,0.0000414975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5593525,"threshold_uncertainty_score":0.6837692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557391011203643,"score_gpt":0.2111263030916653,"score_spread":0.1955523929796288,"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."}}