{"id":"W4391111389","doi":"10.1002/adem.202301630","title":"Viscosity of Mono‐ and Polydisperse Mixtures of Photopolymer and Rigid Spheres for Manufacturing of Engineered Composite Materials Using Vat Photopolymerization","year":2024,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Photopolymer; Materials science; Viscosity; Composite material; Rheology; Shear rate; Dispersity; Shear thinning; Particle (ecology); Volume fraction; Composite number; Polymer; SPHERES; Polymer chemistry; Polymerization","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009786323,0.0002711818,0.0005422127,0.0002041333,0.00002580962,0.00003337303,0.000105022,0.0001188789,0.00002707031],"category_scores_gemma":[0.00003543722,0.0002693759,0.00004533855,0.00007719312,0.00008420582,0.0001711255,0.00007350979,0.00005772043,1.680428e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981594,"about_ca_system_score_gemma":0.00000609746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005661438,"about_ca_topic_score_gemma":5.973915e-7,"domain_scores_codex":[0.9989685,0.00001121361,0.0004799421,0.0002234786,0.00009035265,0.0002264863],"domain_scores_gemma":[0.9995314,0.0001283089,0.00009257624,0.0001893222,0.00002365013,0.00003472375],"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":[0.00003681149,0.000006930072,0.00001166542,0.003151254,0.0001128932,0.000001280612,0.000130293,0.01821485,0.976317,0.0002929306,0.000002546893,0.001721546],"study_design_scores_gemma":[0.0002614709,0.00004293757,0.000429542,0.000644603,0.00006167891,0.00001117182,0.00005170951,0.00440303,0.9936423,0.0001859396,0.00003066397,0.0002348968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713908,0.001681657,0.02533854,0.00000326841,0.0004894526,0.0003017302,0.00043022,0.0003571495,0.000007119785],"genre_scores_gemma":[0.980953,0.0002314958,0.01865654,0.000001205402,0.00003803484,0.00002260704,0.00002609675,0.0000662844,0.000004694441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732536,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007036761241164419,"score_gpt":0.2178074006472978,"score_spread":0.2107706394061334,"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."}}