{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353798,0.0003895662,0.0001972631,0.0005162971,0.0001581107,0.0004374464,0.0002229607,0.0002821914,0.0003912883],"category_scores_gemma":[0.0005378702,0.0002629155,0.000251361,0.0002782882,0.0002123791,0.0003227145,0.0002142284,0.0005263243,0.0001445015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520975,"about_ca_system_score_gemma":0.0002555758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007410319,"about_ca_topic_score_gemma":0.001649217,"domain_scores_codex":[0.9997062,0.00002658666,0.00002804166,0.00006411207,0.0001505401,0.00002452098],"domain_scores_gemma":[0.9996548,0.0001041664,0.0001421415,0.00001952228,0.00005062525,0.00002877822],"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":[0.00001307009,0.00000993396,0.0001810439,0.00001343036,0.000002356776,0.000009608978,0.00002275347,0.0004391091,0.9980431,0.00008769979,0.00001294915,0.00116493],"study_design_scores_gemma":[0.000001312967,0.00003230801,0.0008588667,0.000003305302,0.000005235209,0.00001196455,0.000005130158,0.005930321,0.9928873,0.00001724652,0.000242615,0.000004455225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710707,0.0006947825,0.02660939,0.00004001519,0.00003030581,0.00002793077,0.0001364657,0.0001866381,0.001203758],"genre_scores_gemma":[0.9854114,0.0003190961,0.01336296,0.00001007854,0.000005249983,0.00004985959,0.0001466304,0.0000502039,0.0006445817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007410319,"threshold_uncertainty_score":0.00400579,"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."}}