{"id":"W4386285381","doi":"10.3390/met13091534","title":"Ratcheting–Fatigue Damage Assessment of Additively Manufactured SS304L and AlSi10Mg Samples under Asymmetric Stress Cycles","year":2023,"lang":"en","type":"article","venue":"Metals","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Isotropy; Structural engineering; Hardening (computing); Composite material; Stress (linguistics); Strain hardening exponent; Finite element method; Yield (engineering); Fatigue limit; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000314761,0.0002437813,0.0004168406,0.0002665788,0.00007200641,0.00007354083,0.0001512549,0.00008450305,0.0003294804],"category_scores_gemma":[0.00008040254,0.0002134853,0.00006098187,0.0002869074,0.00007079929,0.0001557618,0.00009463679,0.0001069934,0.00001622412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363841,"about_ca_system_score_gemma":0.00001573774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002801219,"about_ca_topic_score_gemma":0.00001476193,"domain_scores_codex":[0.9988427,0.00007253332,0.0003239712,0.0002441454,0.0002289285,0.0002876834],"domain_scores_gemma":[0.9991423,0.0004617997,0.00009913747,0.0001825485,0.00004075247,0.00007338532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000888199,0.0004105952,0.01124194,0.01003968,0.003816931,0.0001364926,0.002480478,0.5360709,0.2976438,0.006865907,0.04633909,0.08486537],"study_design_scores_gemma":[0.0002859675,0.00003781171,0.3202509,0.00009253318,0.00006294476,0.000001795196,0.0003378433,0.0009116243,0.6724287,0.0008864983,0.004400234,0.0003031836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911192,0.0002802882,0.004015401,0.00007879418,0.0001848722,0.0001988084,0.001174432,0.0003552296,0.002592982],"genre_scores_gemma":[0.9972428,0.0003067547,0.001818581,0.00002555528,0.00009068783,0.00003450249,0.0002926751,0.00004887986,0.0001395643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5351592,"threshold_uncertainty_score":0.8705677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692210856149979,"score_gpt":0.2877523328326152,"score_spread":0.2508302242711154,"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."}}