{"id":"W2554965358","doi":"10.1007/s10853-016-0584-2","title":"Multi-axial forging of Fe3Al-base intermetallic alloy and its mechanical properties","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Narodowym Centrum Nauki","keywords":"Intermetallic; Forging; Materials science; Alloy; Solid mechanics; Metallurgy; Base (topology); Composite material; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007868359,0.0001201464,0.000285263,0.0001509487,0.00005296121,0.00007083768,0.0003348381,0.00003071457,0.00004360019],"category_scores_gemma":[0.0002400853,0.00006423816,0.00004689419,0.0000808737,0.000206552,0.0007368053,0.0001050346,0.00005472741,0.000004380862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000423704,"about_ca_system_score_gemma":0.00004479069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001203454,"about_ca_topic_score_gemma":9.384113e-7,"domain_scores_codex":[0.9988717,0.00002241902,0.0004950071,0.0001126343,0.0002701876,0.0002280064],"domain_scores_gemma":[0.9994145,0.00002060933,0.0001689681,0.00009542231,0.0002099879,0.00009052977],"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":[0.00003705757,0.00001538976,0.000003625602,0.00006409624,0.00001274949,0.000006034222,0.00007355293,0.0001582727,0.9984873,0.0003093994,0.00000293586,0.0008295653],"study_design_scores_gemma":[0.0003953699,0.0001400093,0.0001044263,0.0004203088,0.00001036628,0.00008372745,0.0000394975,0.001182047,0.9972948,0.00009166676,0.0001353318,0.0001024713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980592,0.0002168156,0.0007219233,0.00008966863,0.0008051968,0.00006672823,0.000005651902,0.0000165267,0.0000182654],"genre_scores_gemma":[0.9969627,0.0002497793,0.002611625,0.00001580457,0.00008239603,0.000001935994,3.744156e-8,0.00001421731,0.0000615253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889702,"threshold_uncertainty_score":0.2619556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916863608596782,"score_gpt":0.2353685100786267,"score_spread":0.2061998739926588,"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."}}