{"id":"W3126816126","doi":"10.1007/s12598-020-01671-3","title":"Nano‐yttrium‐containing precipitates of T6 heat‐treated A356.2 alloy when trace yttrium (Y less than 0.100 wt%) added","year":2021,"lang":"en","type":"article","venue":"Rare Metals","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Materials science; Yttrium; Alloy; Ultimate tensile strength; Microstructure; Scanning electron microscope; Grain size; Metallurgy; Nano-; Analytical Chemistry (journal); Composite material; Oxide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000810881,0.0002443313,0.0002138449,0.0002237647,0.0001296462,0.0001622115,0.0001832675,0.0002342423,0.001000782],"category_scores_gemma":[0.0001093745,0.0001617872,0.0002133122,0.0001894414,0.0001706025,0.00009024355,0.00008911143,0.0001685316,0.0002238804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346174,"about_ca_system_score_gemma":0.0001491277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139588,"about_ca_topic_score_gemma":0.002465633,"domain_scores_codex":[0.999905,0.00000660909,0.000008321576,0.0000217192,0.00004065753,0.00001767022],"domain_scores_gemma":[0.9998977,0.000009786851,0.00003313388,0.000007956531,0.00003164384,0.00001977275],"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":[0.00004725275,0.000003546722,0.00008373732,0.00001345947,0.000001653647,0.00001865838,0.00000657866,0.00005865028,0.9995531,0.000009093602,0.000005679402,0.0001984261],"study_design_scores_gemma":[0.000005655535,0.0001470011,0.002554128,0.000002380904,0.000006648715,0.00003062109,0.0000157727,0.0006501914,0.9962005,0.000007933797,0.0003763665,0.000002756182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983112,0.0004037218,0.0006141193,0.000009664428,0.00001259515,0.000007308087,0.0001164471,0.00003611831,0.0004887805],"genre_scores_gemma":[0.9970545,0.0001164049,0.0009932556,0.00001040967,0.000004226029,0.000009162167,0.0001672719,0.00002372737,0.001620931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002139588,"threshold_uncertainty_score":0.004254222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230318616975646,"score_gpt":0.2196233168507614,"score_spread":0.1973201306810049,"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."}}