{"id":"W2809096573","doi":"10.1111/ffe.12865","title":"A modification of UniGrow 2‐parameter driving force model for short fatigue crack growth","year":2018,"lang":"en","type":"article","venue":"Fatigue & Fracture of Engineering Materials & Structures","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Paris' law; Crack closure; Structural engineering; Fracture mechanics; Stress concentration; Fatigue testing; Aluminium; Crack growth resistance curve; Stress intensity factor; Titanium alloy; Stress (linguistics); Composite material; Alloy; 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":[0.0003629638,0.0008391652,0.0005111619,0.0005959992,0.0003349667,0.000466355,0.002561823,0.001251451,0.002174678],"category_scores_gemma":[0.0006653836,0.0005036398,0.0008282362,0.0002997369,0.000293183,0.001194109,0.0004848847,0.0006337264,0.0007753366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006015073,"about_ca_system_score_gemma":0.0009158005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128311,"about_ca_topic_score_gemma":0.01770483,"domain_scores_codex":[0.9997833,0.0000298254,0.00001317349,0.00005078148,0.0001000233,0.00002284705],"domain_scores_gemma":[0.9996995,0.00007771067,0.00003821274,0.00004709831,0.0001212609,0.00001615439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009177993,0.00007028547,0.003247014,0.0001188424,0.00004754583,0.0002522095,0.0001026744,0.9115539,0.03172185,0.005929198,0.001346866,0.04551794],"study_design_scores_gemma":[0.000002868736,0.0000152604,0.0003245726,0.000002610102,0.000004252728,0.00003292218,0.000003507787,0.9968594,0.001593581,0.0002186847,0.0009336487,0.000008726141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1445399,0.0007024429,0.8431563,0.0001878368,0.0001541294,0.0001471738,0.0006585998,0.001689859,0.008763859],"genre_scores_gemma":[0.8891146,0.0004952225,0.09467691,0.00006310931,0.0000385123,0.000289848,0.0007452946,0.0002735037,0.01430307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0128311,"threshold_uncertainty_score":0.02551281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533876044475206,"score_gpt":0.2571526260395697,"score_spread":0.2318138655948176,"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."}}