{"id":"W4386413505","doi":"10.1016/j.tafmec.2023.104068","title":"Fracture parameters analysis of compact tension specimens with deflected fatigue cracks: ZK60 magnesium alloy","year":2023,"lang":"en","type":"article","venue":"Theoretical and Applied Fracture Mechanics","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Ningbo; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Materials science; Crack growth resistance curve; Compact tension specimen; Fracture mechanics; Crack closure; Deflection (physics); Paris' law; Structural engineering; Stress intensity factor; Magnesium alloy; Stress concentration; Tension (geology); Alloy; Crack tip opening displacement; Composite material; Ultimate tensile strength; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003739742,0.0003429706,0.0006625598,0.0002048448,0.000210305,0.0000861209,0.0003073256,0.0002193629,0.001665709],"category_scores_gemma":[0.0000361212,0.0002142724,0.000112106,0.001243603,0.0003421163,0.00005978852,0.0001009353,0.0002677058,0.00006153336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001937723,"about_ca_system_score_gemma":0.00002980896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003518491,"about_ca_topic_score_gemma":0.00001332881,"domain_scores_codex":[0.998003,0.00007056232,0.0004045968,0.0005847558,0.0004637484,0.0004733568],"domain_scores_gemma":[0.9986254,0.0002825395,0.0001995124,0.0005572881,0.0001183384,0.0002169414],"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":[0.000412279,0.0001378911,0.00003083572,0.00007747018,0.0001303001,0.00000761955,0.0004980548,0.01075316,0.6585568,0.3285636,0.0005666359,0.0002653846],"study_design_scores_gemma":[0.001698244,0.0008253069,0.004330104,0.00006212352,0.004255495,0.00001893547,0.002014095,0.09824185,0.7596323,0.1236735,0.003701583,0.001546391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516113,0.00005236402,0.04207773,0.003596757,0.00005866652,0.0006568644,0.00009430925,0.0003132851,0.001538662],"genre_scores_gemma":[0.9962817,0.00002941841,0.002165253,0.001222743,0.00004370102,0.00003488824,0.0001283576,0.00003737997,0.00005650204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2048901,"threshold_uncertainty_score":0.9992469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350466506565352,"score_gpt":0.2369754992991479,"score_spread":0.2234708342334944,"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."}}