{"id":"W2735861906","doi":"10.1016/j.ijpvp.2017.07.002","title":"CANMET SENT test method, updates and applications","year":2017,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Australian Government","keywords":"Structural engineering; Stress intensity factor; Tension (geology); J integral; Test method; Enhanced Data Rates for GSM Evolution; Integral equation; Fracture mechanics; Mathematics; Computer science; Engineering; Materials science; Mathematical analysis; Statistics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002056573,0.00007153263,0.000112373,0.00005856033,0.00008968489,0.0001917592,0.0002204327,0.00003886689,0.00001451396],"category_scores_gemma":[0.00007724718,0.00006057007,0.00002551766,0.00001107419,0.00001973256,0.0002562533,0.00004687168,0.0001365663,7.330376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006912544,"about_ca_system_score_gemma":0.000009215495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297911,"about_ca_topic_score_gemma":0.000005475525,"domain_scores_codex":[0.9995515,0.000008929304,0.0001727664,0.00006289852,0.0001352608,0.00006866048],"domain_scores_gemma":[0.9994755,0.0001190399,0.0001342348,0.00009066,0.0001241547,0.0000563763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006456053,0.0001404014,0.02367602,0.0005064741,0.002778248,0.0001621142,0.002876242,0.0144474,0.129122,0.02275857,0.008110225,0.7953577],"study_design_scores_gemma":[0.00136098,0.00008874135,0.01959725,0.0004850919,0.0003102187,0.0007104276,0.0002233658,0.0672213,0.03851068,0.01397393,0.8570292,0.0004887959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05250145,0.01769574,0.9151391,0.005404375,0.003180879,0.0003140151,0.0001511267,0.00007929334,0.00553398],"genre_scores_gemma":[0.9931582,0.001230571,0.004962456,0.0000694669,0.0005218457,0.000002669727,0.000001591731,0.000009830092,0.0000433885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9406567,"threshold_uncertainty_score":0.2469976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122041850786724,"score_gpt":0.2813605881770453,"score_spread":0.2701401696691781,"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."}}