{"id":"W2984856533","doi":"10.1115/pvp2019-94064","title":"A Framework for Estimating Burst Test Fracture Toughness for Zr-2.5Nb Pressure Tubes Using Data From Small Specimen Tests","year":2019,"lang":"en","type":"article","venue":"Volume 1: Codes and Standards","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruce Power (Canada); Kinectrics (Canada)","funders":"","keywords":"Fracture toughness; Materials science; Toughness; Composite material; Pressure vessel; Test method; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009580916,0.0002624311,0.0004913088,0.00002961261,0.0003657607,0.0008102593,0.0004927444,0.0001893324,0.0009295752],"category_scores_gemma":[0.00100442,0.00020631,0.00004919678,0.00005146445,0.00009592444,0.000367075,0.0003088557,0.0001018827,0.00001304424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004278286,"about_ca_system_score_gemma":0.0001494319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005607239,"about_ca_topic_score_gemma":0.00007370809,"domain_scores_codex":[0.9982113,0.00004431011,0.0003348792,0.000646702,0.0003481333,0.0004147142],"domain_scores_gemma":[0.9982702,0.0005172174,0.000128739,0.0006754062,0.0003142812,0.00009419204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002281551,0.0002392081,0.01299817,0.002434921,0.000222438,0.000008256239,0.002866948,0.002729897,0.9464065,0.0009679846,0.02054921,0.008294936],"study_design_scores_gemma":[0.002443963,0.001076526,0.003668467,0.001661742,0.0004913302,0.00001589717,0.0008760552,0.3356255,0.04928001,0.01295966,0.5904995,0.001401388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869367,0.001518861,0.0808053,0.0003010734,0.0011953,0.0009790661,0.02809493,0.0000994447,0.00006931017],"genre_scores_gemma":[0.7071164,0.00002883942,0.2911932,0.0001796323,0.0009418383,0.00002832572,0.0001777188,0.00006872366,0.0002653814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8971264,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05505112259151546,"score_gpt":0.3156591186926274,"score_spread":0.2606079961011119,"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."}}