{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004094047,0.000340174,0.0004744118,0.0001197653,0.0003260607,0.0002602499,0.0005829239,0.000179364,0.0189519],"category_scores_gemma":[0.00009813785,0.000345609,0.00005876828,0.00008490132,0.0001329145,0.0001333759,0.001789,0.0002158239,0.0001585882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453711,"about_ca_system_score_gemma":0.0001168138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005079142,"about_ca_topic_score_gemma":0.000004356077,"domain_scores_codex":[0.9978044,0.0001752053,0.0005063261,0.0009041193,0.0002959906,0.0003139523],"domain_scores_gemma":[0.9983652,0.0002063926,0.0003737865,0.0008814119,0.00007201597,0.0001012123],"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":[0.00001671453,0.00006079983,0.00009535968,0.0003344802,0.00001653021,0.000002483544,0.0000969707,0.000164759,0.9771147,0.008295212,0.00008641681,0.01371555],"study_design_scores_gemma":[0.0001887975,0.0000244011,0.00183358,0.0001121607,0.0001772466,0.00003738377,0.0002326598,0.000517263,0.6934763,0.01958251,0.2821984,0.001619282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6077721,0.0005713028,0.3640866,0.002034255,0.002859991,0.00398626,0.004618313,0.001916443,0.01215479],"genre_scores_gemma":[0.910646,0.00243497,0.05301305,0.001391647,0.001641574,0.01829507,0.001483279,0.0003829929,0.01071144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3110735,"threshold_uncertainty_score":0.9998996,"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."}}