{"id":"W1971162819","doi":"10.1016/j.stam.2007.01.001","title":"Prediction of fracture strength in Al<sub>2</sub>O<sub>3</sub>/SiC<sub>p</sub>ceramic matrix nanocomposites","year":2007,"lang":"en","type":"article","venue":"Science and Technology of Advanced Materials","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Ceramic; Nanocomposite; Annealing (glass); Composite material; Strengthening mechanisms of materials; Dislocation; Ceramic matrix composite; Grain size","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002007735,0.0005390777,0.0003661976,0.0004204718,0.0001381265,0.0002554128,0.0004954153,0.000663622,0.0004179181],"category_scores_gemma":[0.0004684993,0.0004135132,0.0005197129,0.0002156774,0.0002077557,0.000230287,0.0001564902,0.0002852241,0.0001243088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006449156,"about_ca_system_score_gemma":0.0004087369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165999,"about_ca_topic_score_gemma":0.01104019,"domain_scores_codex":[0.9999183,0.000007596374,0.000003311269,0.00002477933,0.00003342449,0.00001261465],"domain_scores_gemma":[0.9998319,0.00008134948,0.00002279279,0.00001089698,0.00004177621,0.00001121066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009125019,0.00004131102,0.005565,0.00004682031,0.00002060199,0.0001084138,0.00001349633,0.9343526,0.05356321,0.0002622231,0.00007718953,0.005857984],"study_design_scores_gemma":[0.000002018384,0.00001660906,0.001375505,9.740102e-7,0.000003303167,0.00001044078,0.000002637926,0.9933631,0.0051444,0.00004444056,0.00003382011,0.000002666637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376829,0.0002361565,0.05994893,0.00003294176,0.00001441231,0.00002948226,0.0001245651,0.0002640779,0.001666426],"genre_scores_gemma":[0.9950841,0.0000595547,0.004463773,0.000002539258,0.000001619793,0.00001163956,0.00003348936,0.00001369456,0.0003295006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165999,"threshold_uncertainty_score":0.02318424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004605887550971128,"score_gpt":0.2081733212922977,"score_spread":0.2035674337413266,"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."}}