{"id":"W7133073941","doi":"","title":"Multiscale Modelling and Experimental Characterization of Additively Manufactured Polymer and Polymer Nanocomposites","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Fused deposition modeling; Characterization (materials science); Deposition (geology); Polymer; Fused filament fabrication; Economies of agglomeration; Dispersion (optics); Machining; Microstructure; Process (computing)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003514036,0.0003356849,0.0003600197,0.000372013,0.0001784087,0.0006236385,0.0005426128,0.0007143033,0.0009671131],"category_scores_gemma":[0.0005608647,0.0002437703,0.0005535049,0.0003112327,0.0003817045,0.0004577588,0.0003207875,0.0004443785,0.0001906444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444568,"about_ca_system_score_gemma":0.0004617832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262854,"about_ca_topic_score_gemma":0.001816184,"domain_scores_codex":[0.9998203,0.00001436353,0.00001212445,0.00004095466,0.00008601662,0.00002622808],"domain_scores_gemma":[0.9997939,0.00008742189,0.00003337507,0.00003758789,0.00003627967,0.00001150906],"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":[0.0000913652,0.0001143633,0.003214522,0.0002468979,0.00002225665,0.0002075918,0.0001067135,0.8549849,0.1296317,0.002245634,0.0002683867,0.008865666],"study_design_scores_gemma":[0.000004029636,0.00006479322,0.001639078,0.000008355287,0.000009167425,0.00002675319,0.0000218543,0.9780724,0.01914356,0.0004040037,0.000594635,0.0000113018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880361,0.0004085783,0.101752,0.0001489468,0.00003980241,0.00007632146,0.0009918063,0.0005031911,0.008043321],"genre_scores_gemma":[0.9819438,0.000195239,0.01661618,0.00001297629,0.000004275106,0.00008938771,0.0003153766,0.00003229977,0.0007904207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002262854,"threshold_uncertainty_score":0.004499316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243112643810068,"score_gpt":0.2595546269043561,"score_spread":0.2471235004662554,"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."}}