{"id":"W4385564895","doi":"10.1016/j.matdes.2023.112224","title":"On sustainable design and manufacturing for the footwear industry – Towards circular manufacturing","year":2023,"lang":"en","type":"article","venue":"Materials & Design","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Manufacturing engineering; Carbon footprint; Flexibility (engineering); Finite element method; Sustainable design; 3D printing; Ecological footprint; Sustainability; Footprint; Mechanical engineering; Engineering; Structural engineering","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":[0.001181637,0.0003476792,0.0003092761,0.0002159585,0.0004135403,0.0003037594,0.0003827339,0.000339278,0.00007421737],"category_scores_gemma":[0.0001714901,0.0002691195,0.00005465732,0.00008221067,0.00008717254,0.0001153069,0.0001790365,0.0003183237,0.00005641121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008498584,"about_ca_system_score_gemma":0.00001981634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002240206,"about_ca_topic_score_gemma":1.349002e-7,"domain_scores_codex":[0.998346,0.00009477435,0.0002668776,0.0003600427,0.0001797235,0.0007526068],"domain_scores_gemma":[0.9986091,0.000811114,0.00005724673,0.0004419629,0.00002051268,0.00006008894],"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":[0.0004638377,0.00005504923,0.00001040488,0.00245613,0.0009193599,0.0004046465,0.001201526,0.7438239,0.08579236,0.006556275,0.05430031,0.1040162],"study_design_scores_gemma":[0.0003000549,0.00008657763,0.000968239,0.00005858868,0.00003707752,0.000009809999,0.0003593233,0.001271524,0.9721389,0.01908566,0.005352922,0.0003313293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7337123,0.00009802419,0.2611131,0.0003207189,0.000508308,0.0013276,0.00002194407,0.002785548,0.0001125108],"genre_scores_gemma":[0.9944409,0.00009838655,0.004207857,0.00004818463,0.0001466609,0.0004508415,0.000008923268,0.000106342,0.0004919559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8863465,"threshold_uncertainty_score":0.9999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295751396626564,"score_gpt":0.2374177540990652,"score_spread":0.2044602401327996,"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."}}