{"id":"W4206873766","doi":"","title":"Influence of strain rate on dynamic and post-dynamic recrystallization of Inconel 718","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Dynamic recrystallization; Inconel; Materials science; Recrystallization (geology); Strain rate; Metallurgy; Computer science; Hot working; Microstructure; Geology; Petrology","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":[0.001974349,0.0002142669,0.0003484233,0.0001846568,0.00004738751,0.00004936515,0.0003980055,0.0002166484,0.00003389735],"category_scores_gemma":[0.0004492342,0.0002338146,0.00006923863,0.0001377829,0.0001132619,0.0001126805,0.000330738,0.0002612568,0.000006460203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005862676,"about_ca_system_score_gemma":0.00008154816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001905871,"about_ca_topic_score_gemma":0.0002731462,"domain_scores_codex":[0.9980552,0.0008417405,0.0004849647,0.0002907951,0.0001684487,0.0001588809],"domain_scores_gemma":[0.997667,0.0003916483,0.0003147937,0.0008709635,0.0006982046,0.00005737513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003223888,0.0001186025,0.0001616093,0.002267879,0.0001208258,0.000001194477,0.004417297,0.1310896,0.8327658,0.01706431,0.000007039741,0.01195369],"study_design_scores_gemma":[0.001268708,0.000004646717,0.05273255,0.01086228,0.0001361372,0.000009405601,0.0002162926,0.6587932,0.2665799,0.007609962,0.000705102,0.001081845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725123,0.0002502824,0.02352061,0.0001349873,0.0001425692,0.0003352828,0.0001686856,0.00009201261,0.002843293],"genre_scores_gemma":[0.9946584,0.0007965179,0.003431495,0.00001102322,0.00000235091,0.00001286407,0.0004291555,0.00003528187,0.0006229529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5661858,"threshold_uncertainty_score":0.9534683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006275918368340708,"score_gpt":0.2063659501449478,"score_spread":0.2000900317766071,"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."}}