{"id":"W3201608171","doi":"10.3390/polym13193219","title":"Modeling the Producibility of 3D Printing in Polylactic Acid Using Artificial Neural Networks and Fused Filament Fabrication","year":2021,"lang":"en","type":"article","venue":"Polymers","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Alexander von Humboldt-Stiftung","keywords":"Fused filament fabrication; Polylactic acid; Artificial neural network; Materials science; Fabrication; Toughness; 3D printing; Ultimate tensile strength; Composite material; Fused deposition modeling; Plastics extrusion; Rapid prototyping; Computer science; Mechanical engineering; Polymer; Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002677303,0.0005023638,0.0002472022,0.0004322281,0.0001908034,0.0004257514,0.0004045694,0.0008086216,0.000829249],"category_scores_gemma":[0.0004967457,0.0003499447,0.0007269596,0.0003677355,0.0002157531,0.0003330726,0.0001971997,0.0003398267,0.0001116375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776855,"about_ca_system_score_gemma":0.0004766645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113812,"about_ca_topic_score_gemma":0.008615999,"domain_scores_codex":[0.9999019,0.00001415379,0.00000754706,0.00002597504,0.00003650141,0.00001398681],"domain_scores_gemma":[0.9997934,0.000116398,0.00003763705,0.00001134059,0.00003588435,0.000005393775],"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":[0.00001638292,0.00001668261,0.0006653604,0.00003201544,0.000007542077,0.0000355727,0.00001294723,0.9897009,0.004527357,0.0002570719,0.00003343952,0.004694644],"study_design_scores_gemma":[3.744678e-7,0.000007070489,0.0001340665,0.000001263473,0.00000163754,0.000002785603,0.00000142294,0.9987707,0.001000002,0.00003406751,0.00004506244,0.000001570834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.547184,0.0006912901,0.4422132,0.0001422584,0.00004772167,0.00008453477,0.0002716397,0.0004899256,0.008875456],"genre_scores_gemma":[0.959748,0.0002869127,0.03778447,0.00001468068,0.000003908508,0.00008842032,0.00009200215,0.00002003794,0.001961523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01113812,"threshold_uncertainty_score":0.02214658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248178129188428,"score_gpt":0.2433521567435069,"score_spread":0.2108703754516226,"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."}}