{"id":"W2558073980","doi":"10.1115/pvp2016-63073","title":"Quantitative Characterization of Hydride Spacing for Cohesive-Zone Modelling of Fracture Toughness in Zr-2.5Nb Pressure Tubes","year":2016,"lang":"en","type":"article","venue":"","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Materials science; Hydride; Fracture toughness; Composite material; Hydrogen; Fracture (geology); Matrix (chemical analysis); Fracture mechanics; Toughness; Solubility; Metallurgy; Chemistry","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":[0.0004545847,0.0003233727,0.000217307,0.0004220381,0.0001422349,0.0003864755,0.0005468026,0.0004934443,0.0003873133],"category_scores_gemma":[0.000864574,0.0002642708,0.0003124287,0.0003026356,0.0003338595,0.0002648858,0.0001900839,0.000311714,0.00006822987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005204086,"about_ca_system_score_gemma":0.000376561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005178131,"about_ca_topic_score_gemma":0.003904341,"domain_scores_codex":[0.9998719,0.0000175716,0.000007108421,0.00003210604,0.0000553902,0.00001592954],"domain_scores_gemma":[0.9997041,0.0001642476,0.00005258251,0.00003029803,0.00003915404,0.00000956821],"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":[0.00005441106,0.0000319975,0.003626124,0.00003860187,0.00000889014,0.00006739513,0.0001004568,0.8952706,0.0964308,0.0009217996,0.00002568689,0.003423208],"study_design_scores_gemma":[0.000001659425,0.00001625548,0.001681945,0.000001707724,0.000001815801,0.00001192256,0.0000123037,0.986452,0.01166516,0.00009465405,0.00005594583,0.00000461949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91076,0.00006622526,0.08793713,0.00002142757,0.000002521581,0.00003365909,0.0002021129,0.0001631454,0.0008137092],"genre_scores_gemma":[0.9911408,0.00003335704,0.008489528,0.000001981441,6.539079e-7,0.00002748151,0.00006313751,0.00001131866,0.0002317861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005178131,"threshold_uncertainty_score":0.01029599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685475235166845,"score_gpt":0.2458617783106588,"score_spread":0.2090070259589904,"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."}}