{"id":"W4231595988","doi":"10.3139/120.111480","title":"Fatigue behavior of two notched cutting tool materials – High speed steel and cemented carbide","year":2020,"lang":"en","type":"article","venue":"Materials Testing","topic":"Advanced materials and composites","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Cemented carbide; Materials science; Finite element method; High-speed steel; Carbide; Machining; Fatigue limit; Fatigue testing; Fracture (geology); Cutting tool; Structural engineering; Composite material; Metallurgy; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005771778,0.0003214788,0.0003341591,0.0007664681,0.000164159,0.0001926561,0.0005038564,0.0006415426,0.001522469],"category_scores_gemma":[0.0009486013,0.0002634553,0.0002819833,0.0003931153,0.0004190944,0.0002536251,0.0001555043,0.0001863343,0.0001755426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205668,"about_ca_system_score_gemma":0.0002594671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002291743,"about_ca_topic_score_gemma":0.005303721,"domain_scores_codex":[0.999513,0.00004778786,0.00004124469,0.00007889669,0.0002605234,0.00005861885],"domain_scores_gemma":[0.9992719,0.0001849035,0.000123598,0.00009161214,0.0002476027,0.00008030109],"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":[0.0004164054,0.00006801033,0.003284286,0.0001096908,0.00002512272,0.0001268109,0.00008197222,0.007394797,0.9842252,0.00007402353,0.00004000691,0.004153713],"study_design_scores_gemma":[0.00009118469,0.004432698,0.09504361,0.00003696011,0.00006662109,0.000356981,0.000184235,0.05059654,0.8478511,0.00008341714,0.001198065,0.00005862696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988461,0.0001263653,0.0006528355,0.000004431787,0.000003283868,0.000009175514,0.00006570124,0.00001797546,0.0002742116],"genre_scores_gemma":[0.9982001,0.00004324463,0.001306928,0.000004066374,7.487295e-7,0.000007006418,0.0001010819,0.000005429632,0.000331377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002291743,"threshold_uncertainty_score":0.005093217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011904853087422,"score_gpt":0.2523541207000397,"score_spread":0.2122350721691655,"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."}}