{"id":"W4389329452","doi":"10.1002/marc.202300602","title":"Toward High‐Performance Piezoresistive Polymer Derived SiOC Ceramics through Masked Stereolithography 3D Printing with β‐Silicon Carbide Nanopowder Reinforcement","year":2023,"lang":"en","type":"article","venue":"Macromolecular Rapid Communications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Piezoresistive effect; Stereolithography; Silicon carbide; Fabrication; Ceramic; Composite material; Gauge factor; Nanocomposite; 3D printing; Composite number; Polymer","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":[0.0001045052,0.0003541671,0.0001475523,0.0002677923,0.0000984588,0.0002310002,0.0002869766,0.0002414933,0.0005750958],"category_scores_gemma":[0.0001511429,0.0002774775,0.0003127354,0.0001470663,0.0002282256,0.0001725775,0.0001937289,0.0004065495,0.0002894336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405938,"about_ca_system_score_gemma":0.0002032077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004855172,"about_ca_topic_score_gemma":0.001288117,"domain_scores_codex":[0.9998615,0.000005535274,0.0000110056,0.00003075218,0.00007082779,0.00002041598],"domain_scores_gemma":[0.9998529,0.00002533865,0.00005976038,0.00002314349,0.00002427456,0.00001456417],"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":[0.000004594527,0.000003251399,0.00003013166,0.00002069063,0.000001671555,0.00002723506,0.000006753646,0.0001121163,0.9991267,0.0000440643,0.00002043751,0.0006023476],"study_design_scores_gemma":[0.000001838711,0.00002241307,0.0005805586,0.000001356372,0.000002189545,0.00003816095,0.000003726055,0.001279836,0.9975404,0.00001031748,0.0005157655,0.000003577613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755282,0.0005891828,0.01950314,0.00006242021,0.00007578359,0.000057327,0.0004324738,0.0005367845,0.003214635],"genre_scores_gemma":[0.9769911,0.0004388603,0.02078317,0.00003647825,0.00001584866,0.00005002512,0.0002309114,0.0000580181,0.001395583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005750958,"threshold_uncertainty_score":0.001923859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204624699548987,"score_gpt":0.2271529576843467,"score_spread":0.2051067106888568,"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."}}