{"id":"W4200352600","doi":"10.1111/ffe.13629","title":"Cyclic deformation behavior and fatigue life prediction of an automotive cast aluminum alloy: A new method of determining intrinsic fatigue toughness","year":2021,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Materials science; Eutectic system; Alloy; Composite material; Toughness; Aluminium; Microstructure; Paris' law; Deformation (meteorology); Cyclic stress; Crack closure; Fracture mechanics; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002090159,0.0004867027,0.0009285959,0.000279542,0.00005335084,0.0000682516,0.0002640892,0.0003206333,0.0001081659],"category_scores_gemma":[0.0002760109,0.0004707735,0.00009340356,0.0002587423,0.00007053785,0.0006275428,0.0001068408,0.0002317436,2.97134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006413169,"about_ca_system_score_gemma":0.00008640612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001635578,"about_ca_topic_score_gemma":0.00001491402,"domain_scores_codex":[0.9977275,0.0001076584,0.001096815,0.0003468773,0.0003794698,0.0003416968],"domain_scores_gemma":[0.9985617,0.0001258619,0.0003799196,0.0004768573,0.000270353,0.0001852554],"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":[0.00003414389,0.00002348804,0.0005302256,0.0009324249,0.0001626482,0.000009539617,0.003036737,0.2065631,0.7847977,0.00007105994,0.00002263036,0.003816307],"study_design_scores_gemma":[0.0005661866,0.0001496402,0.1016059,0.0003552632,0.0001974219,0.00008634171,0.0002352647,0.0104186,0.8859624,0.00004988062,0.00004081759,0.0003322533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954355,0.0004889339,0.0434664,0.00001351576,0.000784088,0.0003827407,0.0002675497,0.0002271469,0.00001464014],"genre_scores_gemma":[0.9455628,0.00003660953,0.05382507,0.00001255304,0.0001976286,0.00003262499,0.0002297045,0.00009970138,0.000003299443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1961445,"threshold_uncertainty_score":0.9997744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986954150096432,"score_gpt":0.2566697305967909,"score_spread":0.2368001890958266,"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."}}