{"id":"W4392914745","doi":"10.32920/25412572.v1","title":"Additive Manufacturing of Polymer Materials for Industrial Applications","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; 3D printing; Ultimate tensile strength; Aerospace; Fused filament fabrication; Composite material; Polymer; Mechanical engineering; Manufacturing engineering; 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":[0.0003926507,0.0006100973,0.0002952236,0.00115889,0.0004426016,0.001033575,0.0003542419,0.0005212871,0.01159116],"category_scores_gemma":[0.0005704212,0.0004010186,0.0004157487,0.001061357,0.0002347228,0.0005943191,0.0007363556,0.0008234406,0.008688943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003691335,"about_ca_system_score_gemma":0.0003616154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002231013,"about_ca_topic_score_gemma":0.0004515251,"domain_scores_codex":[0.9993376,0.00004010544,0.00003434495,0.00005963505,0.000488146,0.00004008292],"domain_scores_gemma":[0.9997576,0.00003190411,0.00003429097,0.00007734504,0.00008296101,0.00001593243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006234135,0.00007013467,0.0003829487,0.001045868,0.00003260078,0.0004373773,0.00009764024,0.002685179,0.7096763,0.01452346,0.01252426,0.2584618],"study_design_scores_gemma":[0.00001232912,0.000191095,0.001381487,0.0001012869,0.00002248,0.0008240062,0.00002356154,0.003455003,0.6587712,0.003041309,0.3321523,0.00002401832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1460202,0.04996166,0.4572149,0.001255703,0.004952094,0.0006654632,0.003259075,0.006612146,0.3300589],"genre_scores_gemma":[0.516876,0.03598229,0.2915202,0.0007637056,0.000834911,0.0005531223,0.003170082,0.001411428,0.1488882],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01159116,"threshold_uncertainty_score":0.03877634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906154700682253,"score_gpt":0.2516610683820875,"score_spread":0.222599521375265,"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."}}