{"id":"W3116605601","doi":"10.1111/ffe.13406","title":"Very high cycle fatigue characterization of additively manufactured AlSi10Mg and AlSi7Mg aluminium alloys based on ultrasonic fatigue testing","year":2020,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Aluminium; Metallurgy; Fatigue limit; Context (archaeology); Fatigue testing; Tension (geology); Aluminium alloy; Composite material; Ultimate tensile strength","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281966,0.0001681931,0.0001883661,0.0007311232,0.0001272,0.000187509,0.0003089828,0.0003188268,0.001075523],"category_scores_gemma":[0.0003016105,0.0001274434,0.0001964014,0.0002507326,0.0002372045,0.0001597638,0.000127,0.0001290577,0.0002557925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689587,"about_ca_system_score_gemma":0.00007610611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007661613,"about_ca_topic_score_gemma":0.002327865,"domain_scores_codex":[0.9997572,0.00001769835,0.00001539377,0.00003065785,0.0001569111,0.00002210977],"domain_scores_gemma":[0.9996653,0.00006105103,0.00006533207,0.0000309953,0.0001603352,0.00001716114],"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":[0.00004702934,0.000005495856,0.001313893,0.00003750639,0.000003164613,0.00003056136,0.00005771125,0.000156718,0.9952363,0.00001612232,0.00001303455,0.003082457],"study_design_scores_gemma":[0.000006626371,0.0009551069,0.05278635,0.000009017434,0.00002441965,0.0002666138,0.0001633335,0.003163632,0.9413093,0.00003190717,0.001270821,0.00001286695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971451,0.0003019249,0.001965758,0.000006572664,0.000004130501,0.000007578297,0.00007015804,0.00003135502,0.0004673937],"genre_scores_gemma":[0.9975793,0.0000767274,0.001544144,0.000004456616,0.000002108914,0.00000751435,0.0000831641,0.000008006998,0.0006946514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001075523,"threshold_uncertainty_score":0.003598034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650333301206206,"score_gpt":0.2097015371127398,"score_spread":0.1931982041006777,"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."}}