{"id":"W4210686614","doi":"10.1007/s11665-022-06595-w","title":"Fatigue Characterization and Modeling of Additively Manufactured Hastelloy-X Superalloy","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Siemens (Canada); University of Waterloo","funders":"","keywords":"Materials science; Hardening (computing); Superalloy; Fatigue limit; Softening; Composite material; Tension (geology); Strain hardening exponent; Plasticity; Structural engineering; Monotonic function; Compression (physics); Alloy","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":[0.0002446535,0.0001388857,0.0002894989,0.0001263564,0.00006601286,0.00003922365,0.00007880293,0.0000326951,0.0001350972],"category_scores_gemma":[0.00001050855,0.0001290875,0.00001966764,0.00004253386,0.00001345557,0.0002458768,0.00004374269,0.0001088456,2.18613e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001745562,"about_ca_system_score_gemma":0.000009597568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001997783,"about_ca_topic_score_gemma":5.627399e-8,"domain_scores_codex":[0.9992626,0.0000168878,0.0003817275,0.00007236436,0.0001368416,0.0001296182],"domain_scores_gemma":[0.9997308,0.00002226209,0.0001088769,0.0000519886,0.00004102727,0.0000450458],"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":[0.00007705579,0.000008700669,0.0000572822,0.0007688084,0.00004427331,0.000003934929,0.0004270372,0.4325494,0.5642172,0.00001437956,0.0000159866,0.001816051],"study_design_scores_gemma":[0.0005232902,0.0003111689,0.007987748,0.0002114886,0.00003563795,0.0002287481,0.00007452354,0.1260339,0.862098,0.00001250672,0.002194657,0.000288271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948929,0.0002481921,0.004031538,0.00001219972,0.0005734554,0.0000532626,0.000148083,0.00002908478,0.00001126648],"genre_scores_gemma":[0.99853,0.0008420874,0.0004076542,0.000006782784,0.0001455316,0.000005897325,0.0000245688,0.00002599768,0.00001146275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3065155,"threshold_uncertainty_score":0.5264034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377851697078565,"score_gpt":0.1885895035365814,"score_spread":0.1748109865657958,"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."}}