{"id":"W4415711865","doi":"10.36227/techrxiv.176185552.20669715/v1","title":"Toward Intelligent Sustainability: A Structured Integration of Artificial Intelligence and Lean Six Sigma in Life Cycle Assessment","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Six Sigma; Design for Six Sigma; Lean manufacturing; Life-cycle assessment; Lean Six Sigma; Human life; Manufacturing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005936204,0.000423101,0.0005793967,0.0007010256,0.00005677709,0.0002365714,0.0003035384,0.0003954119,0.0003223335],"category_scores_gemma":[0.0005212565,0.0004447126,0.0001188505,0.001233453,0.0002684185,0.0007358353,0.0001303434,0.0007602827,0.000003299352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008195823,"about_ca_system_score_gemma":0.0005908023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002407239,"about_ca_topic_score_gemma":0.0003479671,"domain_scores_codex":[0.9967303,0.00007461828,0.00191064,0.0004595527,0.0003589769,0.0004659174],"domain_scores_gemma":[0.9986492,0.0003039528,0.000130346,0.0004049632,0.0003429508,0.000168583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007183746,0.0001945667,0.001109056,0.001386633,0.00008820532,0.000003213713,0.003162362,0.2250304,0.0001943496,0.3111937,0.00002835839,0.4575373],"study_design_scores_gemma":[0.0002640678,0.0002309888,0.005141111,0.0006887536,0.00007010293,0.000002822757,0.07355611,0.7012913,0.03986993,0.1780666,0.0002232988,0.0005948677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2628089,0.0002216155,0.7127616,0.001160355,0.0007538513,0.001207852,0.00003042568,0.0001002662,0.02095521],"genre_scores_gemma":[0.9973201,0.0001437699,0.002209572,0.00006120256,0.00003706,0.0000500531,0.00001798679,0.00002514687,0.0001350724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7345113,"threshold_uncertainty_score":0.9998004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127345513388688,"score_gpt":0.3011008636104956,"score_spread":0.2698274084766087,"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."}}