{"id":"W2792727026","doi":"10.1016/j.matchar.2018.02.028","title":"Effect of cryogenic temperatures and processing parameters on gradient-structure of a stainless steel treated by ultrasonic surface mechanical attrition treatment","year":2018,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agence Nationale de la Recherche","keywords":"Materials science; Martensite; Metallurgy; Surface roughness; Microstructure; Grain size; Cryogenic treatment; Austenite; Peening; Surface finish; Carbide; Shot peening; Austenitic stainless steel; Composite material; Residual stress; Corrosion","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":[0.00006205319,0.0002481249,0.0003931463,0.00005522398,0.00005589038,0.00004736048,0.00005065285,0.0001268481,0.00003575166],"category_scores_gemma":[0.00001031187,0.0001801897,0.00003327905,0.000124627,0.0000623586,0.0001062504,0.000007654162,0.00002945211,0.000001198806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006629699,"about_ca_system_score_gemma":0.000006295699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002179109,"about_ca_topic_score_gemma":0.000003395692,"domain_scores_codex":[0.9990813,0.0001303105,0.0002839084,0.0002031569,0.0001255691,0.0001757452],"domain_scores_gemma":[0.9996175,0.00005374417,0.0001206871,0.000122503,0.00004165363,0.0000438796],"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":[0.0004039246,0.00004921494,0.001013179,0.0002863064,0.00007559057,0.000001040706,0.0001853863,0.00004321776,0.9967349,0.000004774874,0.000003340101,0.001199143],"study_design_scores_gemma":[0.001083157,0.001279352,0.006203175,0.0001651857,0.00009245993,0.000003242611,0.00001166133,0.0002336929,0.990776,0.000003140344,0.000008370637,0.000140579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998429,0.00009509543,0.00002069227,0.000006976432,0.0001682062,0.0004804389,0.0007130327,0.00008324791,0.000003305415],"genre_scores_gemma":[0.9987897,0.0001312999,0.00004279982,0.000002697739,0.00003250519,0.00001198505,0.0009374254,0.00003438452,0.00001715169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005958898,"threshold_uncertainty_score":0.7347923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006233915168089001,"score_gpt":0.2170595222964966,"score_spread":0.2108256071284076,"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."}}