{"id":"W4206805010","doi":"10.4018/ijmmme.293225","title":"Accuracy Investigation of Fused Deposition Modelling (FDM) Processed ABS and ULTRAT Parts","year":2022,"lang":"en","type":"article","venue":"International Journal of Manufacturing Materials and Mechanical Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Fused deposition modeling; Variance (accounting); Standard deviation; Mathematics; Noise (video); Deposition (geology); Grey relational analysis; Statistics; Concordance; Computer science; Materials science; Artificial intelligence; Composite material; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003030783,0.0001381056,0.000224983,0.0001902641,0.00004953912,0.00007094077,0.0001917928,0.00005123841,0.00002567597],"category_scores_gemma":[0.00005290016,0.0001352489,0.00003597301,0.00002944142,0.00001914319,0.0002324627,0.0001198133,0.0002072455,2.114534e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000491788,"about_ca_system_score_gemma":0.00000927261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000758446,"about_ca_topic_score_gemma":2.121255e-7,"domain_scores_codex":[0.9990444,0.00001602195,0.0004398898,0.000110752,0.0002608327,0.0001280728],"domain_scores_gemma":[0.9995114,0.000119149,0.0001947194,0.00006701061,0.0000560996,0.00005163713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006320215,0.00001341964,0.000008041524,0.0002047082,0.0001369047,0.00002745577,0.000231896,0.4029234,0.5894497,0.0006713891,0.00001255651,0.006257283],"study_design_scores_gemma":[0.000336306,0.00006334495,0.0002397109,0.00012052,0.0000199358,0.0001578119,0.00007878365,0.01671947,0.9802082,0.001768184,0.0001586621,0.0001290299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608976,0.0001504208,0.03802961,0.00008991532,0.0006460132,0.00006535004,0.00001793899,0.00009642784,0.00000672738],"genre_scores_gemma":[0.9952027,0.0002741779,0.004362487,0.00001244147,0.0001077189,0.000008850125,0.000007362774,0.00002219094,0.000002101692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3907585,"threshold_uncertainty_score":0.5515289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389172083859185,"score_gpt":0.2076385599543598,"score_spread":0.1937468391157679,"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."}}