{"id":"W4311686141","doi":"10.32920/21740801","title":"Nanoceramics: Synthesis, Characterization, and Applications","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"","keywords":"Materials science; Machinability; Superplasticity; Crystallinity; Toughness; Characterization (materials science); Ceramic; Composite material; Grain boundary; Metallurgy; Nanotechnology; Microstructure","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":[0.0003131701,0.0002195972,0.0001890801,0.0004134032,0.0001981999,0.0005236808,0.0002614273,0.0004070495,0.002810718],"category_scores_gemma":[0.00044736,0.0001300074,0.0001211985,0.0003117349,0.0002068171,0.000505478,0.0001597879,0.0003275021,0.001098329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486992,"about_ca_system_score_gemma":0.0002952025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006414754,"about_ca_topic_score_gemma":0.0009614172,"domain_scores_codex":[0.9998122,0.000007388152,0.00001425465,0.00006223267,0.00009295777,0.00001096861],"domain_scores_gemma":[0.9998655,0.00002207326,0.00002429835,0.00002137503,0.00005334385,0.00001327803],"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":[0.0001128406,0.00004164524,0.0004607794,0.0003228003,0.000009161665,0.00009024922,0.00007563854,0.0002975782,0.9185739,0.003201931,0.004422823,0.07239064],"study_design_scores_gemma":[0.00001261141,0.0001245516,0.001801029,0.00002291225,0.00001003237,0.0003999,0.00002370435,0.001274602,0.9084643,0.0006872292,0.08716574,0.00001350436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6032404,0.111758,0.1805712,0.003121042,0.001708878,0.001357346,0.009760468,0.003263911,0.08521879],"genre_scores_gemma":[0.8555019,0.01571496,0.09002844,0.0006060564,0.0001941423,0.0003522561,0.003013764,0.0003482446,0.0342401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002810718,"threshold_uncertainty_score":0.009402812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143680828906564,"score_gpt":0.2452841563828694,"score_spread":0.2338473480938038,"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."}}