{"id":"W4405615626","doi":"10.5267/j.esm.2024.8.002","title":"Influence of process parameters for tensile test specimens printed on FDM by ABS material to attain sustainability","year":2024,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultimate tensile strength; Materials science; Process (computing); Composite material; Sustainability; Tensile testing; Structural engineering; 3d printed; Engineering drawing; Mechanical engineering; Engineering; Computer science; Manufacturing engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001822354,0.0002698222,0.0002872997,0.0001974439,0.00003082745,0.00004863616,0.000257307,0.000135586,0.000005595307],"category_scores_gemma":[0.001078336,0.0002721817,0.00007267853,0.0002354423,0.00001551571,0.00006836459,0.0000685581,0.000227963,0.000008500133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992989,"about_ca_system_score_gemma":0.00002162846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003623151,"about_ca_topic_score_gemma":4.161795e-7,"domain_scores_codex":[0.9988129,0.000004104829,0.000300101,0.0003232424,0.0001408447,0.0004188371],"domain_scores_gemma":[0.9991736,0.000306343,0.00002529369,0.0003304697,0.0001033776,0.00006088271],"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":[0.00001369327,0.0000226307,0.000002175054,0.001187877,0.00005042942,0.000005805781,0.0001756361,0.9331613,0.06139955,0.001770041,0.0008719816,0.001338948],"study_design_scores_gemma":[0.00008452954,0.0001952519,0.00004357525,0.0002395978,0.00001488488,0.000002786614,0.00007619485,0.1887432,0.8049045,0.001628036,0.003789396,0.0002780608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287167,0.0000298377,0.06781417,0.0001219798,0.0003627427,0.0005867506,0.0002446735,0.002109692,0.00001341031],"genre_scores_gemma":[0.9965098,0.000006854576,0.003099433,0.00001452157,0.00004852315,0.0001776701,0.00001724902,0.00008159047,0.00004435867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.744418,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005953943502925017,"score_gpt":0.2373107898855199,"score_spread":0.2313568463825949,"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."}}