{"id":"W2738118442","doi":"10.1016/j.matdes.2017.07.040","title":"Understanding and quantification of grain growth mechanism in ZrO2‑carbon nanotube composites","year":2017,"lang":"en","type":"article","venue":"Materials & Design","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; China Aerospace Science and Technology Corporation; Canadian Astronomical Society","keywords":"Materials science; Sintering; Grain growth; Composite material; Activation energy; Carbon nanotube; Nanocomposite; Isothermal process; Grain size; Thermodynamics; Physical chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001213461,0.0001826019,0.0001229574,0.0003155031,0.0001894351,0.0002668478,0.0002097623,0.0003834601,0.000549393],"category_scores_gemma":[0.0001822524,0.0001407848,0.0001196186,0.0001661661,0.0001755958,0.0003431492,0.00008979007,0.0002392289,0.0001245528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004387073,"about_ca_system_score_gemma":0.0002325903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002701176,"about_ca_topic_score_gemma":0.00438828,"domain_scores_codex":[0.9998935,0.000005801657,0.000004074877,0.00003262873,0.00004850071,0.00001545304],"domain_scores_gemma":[0.9998672,0.0000392092,0.00003647495,0.00001254161,0.0000365563,0.000007996544],"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":[0.00003293572,0.000009051245,0.0006357039,0.00002457171,0.000002633698,0.00001224185,0.000009643007,0.0006425389,0.9971162,0.0002312623,0.0000202338,0.001263095],"study_design_scores_gemma":[0.000003962254,0.0000502123,0.007135801,0.000003015615,0.000009862356,0.00003107677,0.00002881432,0.01932707,0.9726663,0.0001077173,0.0006283689,0.000007837106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877557,0.0005339954,0.009753712,0.00004430789,0.0000185227,0.00001624851,0.00016764,0.0001328751,0.001577012],"genre_scores_gemma":[0.9939745,0.0002151344,0.005112469,0.000007434289,0.000004298846,0.00001261678,0.0001114112,0.00001297648,0.0005492209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002701176,"threshold_uncertainty_score":0.005370855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014992638297572,"score_gpt":0.275704739303718,"score_spread":0.1742054754739608,"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."}}