{"id":"W2792855392","doi":"10.1016/j.addma.2018.02.017","title":"Powder bed binder jetting additive manufacturing of silicone structures","year":2018,"lang":"en","type":"article","venue":"Additive manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Silicone; Extrusion; Fabrication; Composite material; Rheology; Porosity; Silicone resin; Characterization (materials science); Factorial experiment; Nanotechnology","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":[0.0002838227,0.000371953,0.0004032079,0.000779661,0.0003219807,0.0005671189,0.0004969271,0.0003905476,0.003559986],"category_scores_gemma":[0.0003356478,0.0003202955,0.0005154858,0.0007371718,0.0002384026,0.0005113953,0.0003417005,0.0007030144,0.001250695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927888,"about_ca_system_score_gemma":0.0004150546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00042759,"about_ca_topic_score_gemma":0.001625351,"domain_scores_codex":[0.9994104,0.00003176762,0.0000291158,0.00005140903,0.000429842,0.00004749156],"domain_scores_gemma":[0.9998322,0.00003710172,0.00003079328,0.00003427826,0.00004892455,0.0000168161],"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":[0.00007799669,0.00003378456,0.00008692218,0.0002180384,0.000007442137,0.0001519619,0.00008155466,0.001161405,0.9632942,0.0008195034,0.0003316989,0.03373537],"study_design_scores_gemma":[0.000006224982,0.0001579427,0.0005056601,0.000007878606,0.000008196486,0.0001178781,0.0000116799,0.001877846,0.9927712,0.00008933104,0.004440404,0.000005745873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8206223,0.007934273,0.1211084,0.0002636495,0.0004034543,0.0002105775,0.0006196972,0.001556465,0.04728125],"genre_scores_gemma":[0.9174338,0.002466164,0.05826367,0.00008883443,0.00005720084,0.00004995903,0.0004214947,0.0001950128,0.02102392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003559986,"threshold_uncertainty_score":0.01190931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122205790554989,"score_gpt":0.22620644915654,"score_spread":0.2139858701010411,"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."}}