{"id":"W4313321146","doi":"10.32920/21740801.v1","title":"Nanoceramics: Synthesis, Characterization, and Applications","year":2022,"lang":"en","type":"preprint","venue":"","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"","keywords":"Materials science; Machinability; Superplasticity; Crystallinity; Toughness; Ceramic; Characterization (materials science); Composite material; Grain boundary; Metallurgy; Microstructure; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003686775,0.0001965205,0.0003013282,0.00008041952,0.0002137666,0.0002804487,0.0003325248,0.0001136032,0.01938109],"category_scores_gemma":[0.00002875448,0.0001877657,0.00003822351,0.00005265641,0.00005609489,0.00007507303,0.001233295,0.0001090916,0.0001284951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995542,"about_ca_system_score_gemma":0.00009850517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007457411,"about_ca_topic_score_gemma":0.000003680784,"domain_scores_codex":[0.998673,0.0001006624,0.0003322407,0.0005356919,0.000176879,0.0001815535],"domain_scores_gemma":[0.9990867,0.00005746004,0.0002002325,0.0005337708,0.00005043692,0.00007133582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008171366,0.00004875719,0.00003935589,0.0002133752,0.000009565708,0.000001557014,0.00006628544,0.00001309714,0.9870411,0.008335834,0.0005662925,0.003656602],"study_design_scores_gemma":[0.0001107434,0.0000149728,0.0005568553,0.00003268373,0.00007685383,0.00001062909,0.00005965985,0.00005796035,0.4506127,0.004143,0.5437962,0.0005277998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298006,0.0003290644,0.04550156,0.001394771,0.001973978,0.002329038,0.00309525,0.000782745,0.01479296],"genre_scores_gemma":[0.9488294,0.002245771,0.009262102,0.002592259,0.001872942,0.01388056,0.003042276,0.0001929785,0.01808172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5432299,"threshold_uncertainty_score":0.9815153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647446287183055,"score_gpt":0.2583942088302909,"score_spread":0.2419197459584603,"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."}}