{"id":"W3013204733","doi":"10.3390/met10030420","title":"Silicon Nitride Whisker-Reinforced Aluminum Matrix Composites: Twinning and Precipitation Behavior","year":2020,"lang":"en","type":"article","venue":"Metals","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Materials science; Whiskers; Monocrystalline whisker; Whisker; Eutectic system; Composite material; Composite number; Nucleation; Silicon nitride; Crystal twinning; Silicon; Precipitation hardening; Aluminium; Nitride; Alloy; Precipitation; Metallurgy; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114264,0.0002387244,0.0003160266,0.00008033159,0.00007625359,0.000115759,0.0001618367,0.00008121604,0.00007144046],"category_scores_gemma":[0.00005177689,0.0002387258,0.00007051321,0.0001768316,0.00004923112,0.0004164789,0.00007642167,0.0001693289,0.0001780503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004299757,"about_ca_system_score_gemma":0.000009496041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001322317,"about_ca_topic_score_gemma":0.00000204678,"domain_scores_codex":[0.9988952,0.00003600979,0.0003642416,0.0002357159,0.0002041485,0.0002646728],"domain_scores_gemma":[0.9994882,0.0000748717,0.00005208059,0.0001782758,0.0000513209,0.0001552723],"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":[0.00002705635,0.0000087853,0.00201641,0.000154742,0.0001024007,0.00001020802,0.002665371,0.03634783,0.9557763,0.0001007547,0.0008579128,0.001932172],"study_design_scores_gemma":[0.0009076728,0.0002027724,0.003742686,0.00006467886,0.0003060595,0.00002672869,0.0002748327,0.4274675,0.5591379,0.00001398733,0.007150146,0.0007050987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927151,0.001978283,0.003309844,0.0002029791,0.0001311673,0.0004278959,0.00001013278,0.0005878914,0.000636692],"genre_scores_gemma":[0.9940956,0.00002992514,0.005066663,0.0001774113,0.0001214142,0.00007293409,0.00002849775,0.00006208206,0.0003455331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3966385,"threshold_uncertainty_score":0.9734954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006758445211787,"score_gpt":0.232173933445908,"score_spread":0.2121063489937901,"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."}}