{"id":"W3194658107","doi":"10.1111/ffe.13564","title":"Effects of artificial and natural defects on fatigue strength of a cast aluminum alloy","year":2021,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Ministry of Technology, Innovation and Citizens' Services","keywords":"Materials science; Casting; Alloy; Aluminium; Metallurgy; Fatigue limit; Stress (linguistics); Measure (data warehouse); Intensity (physics); Composite material; Structural engineering; Engineering; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000094201,0.0005352182,0.0009632018,0.0002064975,0.00003951183,0.00004351493,0.0002402197,0.0002854558,0.00007657898],"category_scores_gemma":[0.000338531,0.0004722488,0.000122117,0.0002023273,0.0001304036,0.0001355029,0.00008716287,0.000291694,5.6433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003957912,"about_ca_system_score_gemma":0.00003753107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004796403,"about_ca_topic_score_gemma":0.00001271166,"domain_scores_codex":[0.9980944,0.00006003942,0.0007492365,0.0003520202,0.0003534192,0.0003909327],"domain_scores_gemma":[0.9988552,0.0002601426,0.0002303192,0.0004023741,0.0001589008,0.00009304758],"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":[0.0000684028,0.0000205421,0.00006845131,0.002920506,0.0002170228,0.00002462841,0.0007637127,0.046926,0.9478293,0.0004944656,0.00007245219,0.0005945183],"study_design_scores_gemma":[0.0004268197,0.0001100241,0.01945222,0.0004894512,0.0001072642,0.00002908067,0.00004979727,0.0005409176,0.9781458,0.0001331777,0.0001335626,0.000381906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994619,0.002778159,0.0005327016,0.00001100011,0.001471683,0.0003106923,0.0001333562,0.0001236209,0.00001975681],"genre_scores_gemma":[0.9958306,0.00007130505,0.003698013,0.00001581302,0.0001953182,0.00001372319,0.00006493127,0.0001042739,0.000006014906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04638509,"threshold_uncertainty_score":0.9997729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006913733107843978,"score_gpt":0.2084496079976479,"score_spread":0.2015358748898039,"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."}}