{"id":"W3160856869","doi":"10.53063/synsint.2021.1224","title":"Beneficial effect of low BN additive on densification and mechanical properties of hot-pressed ZrB2–SiC composites","year":2021,"lang":"en","type":"article","venue":"Synthesis and Sintering","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Concordia University","funders":"","keywords":"Materials science; Vickers hardness test; Composite material; Fracture toughness; Composite number; Scanning electron microscope; Porosity; Relative density; Hot pressing; Microstructure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001139474,0.0003383578,0.0001703722,0.0003251728,0.0001101693,0.0001901885,0.0001490767,0.0002032606,0.001136653],"category_scores_gemma":[0.0001373059,0.000210311,0.0001231898,0.0001790336,0.0001384958,0.0001798101,0.0001289208,0.0002599943,0.0001833542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224469,"about_ca_system_score_gemma":0.0000914503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009749123,"about_ca_topic_score_gemma":0.003998686,"domain_scores_codex":[0.9998612,0.00000986309,0.00001186859,0.00002923552,0.00006077792,0.0000269331],"domain_scores_gemma":[0.9999018,0.00001341286,0.00002417444,0.00001039832,0.00002777352,0.00002239711],"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":[0.00004353433,0.000005609552,0.00008456583,0.00002440788,0.000002351963,0.00002006116,0.000007894368,0.00005826943,0.9992583,0.00001375682,0.000006688485,0.0004746186],"study_design_scores_gemma":[0.000003027468,0.0001106169,0.003359051,0.00000314637,0.000008893117,0.00003838693,0.00001672166,0.0003896414,0.9956387,0.000004478406,0.0004239821,0.000003400071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980543,0.0003928359,0.0004824243,0.000008740741,0.00001121405,0.000005045455,0.00008468137,0.00003102043,0.000929847],"genre_scores_gemma":[0.9986011,0.0001482995,0.0004945529,0.00000662254,0.000002814128,0.000003943126,0.00007374564,0.00001260129,0.0006562351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001136653,"threshold_uncertainty_score":0.003802538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188860087309116,"score_gpt":0.2210533388859984,"score_spread":0.2091647380129072,"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."}}