{"id":"W4410329351","doi":"10.20944/preprints202412.2046.v2","title":"Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Sustainability; Computer science; Machine learning; Artificial intelligence; Manufacturing engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004029417,0.001464146,0.001075216,0.001042543,0.0003271018,0.001272557,0.0009615711,0.001503846,0.0008910219],"category_scores_gemma":[0.00725493,0.0003398486,0.000854081,0.0009832676,0.0005253542,0.000958864,0.0006956841,0.001132493,0.0002428334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303781,"about_ca_system_score_gemma":0.001068243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005893499,"about_ca_topic_score_gemma":0.004038429,"domain_scores_codex":[0.9985552,0.0007190659,0.00006793584,0.0001496532,0.0004026962,0.0001053722],"domain_scores_gemma":[0.9949662,0.003836236,0.0002696809,0.0002307691,0.000633301,0.0000637944],"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":[0.00005162802,0.00005541007,0.0008887173,0.00005930816,0.00003180835,0.00001223398,0.000006397912,0.9839997,0.0003471812,0.0006950671,0.0002139587,0.01363867],"study_design_scores_gemma":[0.000002737087,0.0000351589,0.0001670662,0.000006412462,0.00000582541,0.000003037526,0.00000406567,0.9988206,0.0005047941,0.0003601967,0.00008775976,0.000002235828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6251358,0.006605835,0.3538353,0.001333467,0.0002491692,0.0002151296,0.0005071295,0.001326125,0.01079204],"genre_scores_gemma":[0.9539177,0.0007131989,0.04382862,0.00008328297,0.0000297689,0.00008564654,0.0003304917,0.00004349181,0.0009677611],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005893499,"threshold_uncertainty_score":0.02130985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09239130760537062,"score_gpt":0.3340295128670989,"score_spread":0.2416382052617282,"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."}}