{"id":"W4399692650","doi":"10.1007/s12598-024-02733-6","title":"Preparation of Fe–As alloys by mechanical alloying and vacuum hot‐pressed sintering: microstructure evolution, mechanical properties, and mechanisms","year":2024,"lang":"en","type":"article","venue":"Rare Metals","topic":"Advanced materials and composites","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Materials science; Microstructure; Alloy; Metallurgy; Sintering; Leaching (pedology); Grain size; Vickers hardness test; Compressive strength; Composite material","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":[0.0001885704,0.0003150225,0.0002228126,0.0002969183,0.0001544189,0.0001846933,0.0001902039,0.0002169092,0.0004817999],"category_scores_gemma":[0.0001476366,0.0002341639,0.0002311492,0.0002931517,0.0001919575,0.0001724215,0.0001044707,0.0002384092,0.0002185602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839161,"about_ca_system_score_gemma":0.0001320207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006425183,"about_ca_topic_score_gemma":0.00190751,"domain_scores_codex":[0.9999032,0.000007801126,0.00001252807,0.00002250128,0.000042052,0.00001193864],"domain_scores_gemma":[0.9999361,0.000008146181,0.00002273047,0.000009753533,0.00001816767,0.000005150584],"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":[0.00002383954,0.000006406244,0.0001959788,0.00004832355,0.000004392118,0.00002576263,0.00001303918,0.0001247481,0.997772,0.00007897218,0.00002322628,0.001683278],"study_design_scores_gemma":[0.000004093776,0.00005168057,0.001482346,0.000002333721,0.000007465513,0.00003634834,0.00001309287,0.001031945,0.9964772,0.0000176255,0.0008736343,0.000002327559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895833,0.00144959,0.006988491,0.00004479237,0.00004539603,0.00004985398,0.0001360125,0.0000996752,0.001602924],"genre_scores_gemma":[0.990076,0.0004518243,0.007936833,0.00001270104,0.000007582821,0.00002408265,0.0001077968,0.00002435484,0.001358857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006425183,"threshold_uncertainty_score":0.001611829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009590023927485323,"score_gpt":0.228141049871753,"score_spread":0.2185510259442677,"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."}}