{"id":"W4392462568","doi":"10.1007/s13243-024-00139-2","title":"A Reconfigurable Cellular Remanufacturing Architecture: a multi-objective design approach","year":2024,"lang":"en","type":"article","venue":"Journal of remanufacturing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Computer architecture; Architecture; Computer science; Embedded system; Engineering; Manufacturing engineering; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006445501,0.0004257673,0.0005163724,0.0006274699,0.0001288332,0.0002589079,0.0003337653,0.0001891953,0.00003975475],"category_scores_gemma":[0.0001077932,0.0003600767,0.000273676,0.0001946463,0.00005974052,0.0005546573,0.00002863654,0.001106449,0.00001997803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188084,"about_ca_system_score_gemma":0.00006326614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005157874,"about_ca_topic_score_gemma":0.000001287649,"domain_scores_codex":[0.9979608,0.00008537571,0.0007358542,0.0003269734,0.0003800649,0.0005109297],"domain_scores_gemma":[0.9989722,0.0002658775,0.000174118,0.0002961002,0.00008942146,0.0002023035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003685791,0.00002788915,0.000001423199,0.0004257488,0.0002146849,0.0001962119,0.0008891791,0.9784467,0.004810171,0.00004231559,0.0002722253,0.0146366],"study_design_scores_gemma":[0.0006594188,0.0001376999,0.00007536828,0.0005779132,0.0001550735,0.0008007287,0.0002102639,0.1981633,0.7903554,0.003268604,0.004952923,0.0006433244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009748819,0.004019063,0.9815229,0.00003260307,0.001331451,0.000262686,0.000004778018,0.0004647556,0.00261293],"genre_scores_gemma":[0.8009468,0.0003998888,0.1977871,0.00001579919,0.0004516022,0.0000084933,0.000004587292,0.0001133855,0.0002723444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.791198,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069894272605608,"score_gpt":0.2248467235049204,"score_spread":0.2041477807788643,"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."}}