{"id":"W236234621","doi":"10.1520/stp154320120157","title":"Modeling Irradiation Damage in Zr-2.5Nb and Its Effects on Delayed Hydride Cracking Growth Rate","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); Canadian Nuclear Laboratories","funders":"","keywords":"Hydride; Cracking; Irradiation; Materials science; Dose rate; Chemistry; Metallurgy; Radiochemistry; Composite material; Nuclear physics; Physics","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":[0.000120287,0.0004315231,0.0003388706,0.0002136189,0.0001204855,0.0003259982,0.0006813464,0.0006967557,0.001634922],"category_scores_gemma":[0.0003276858,0.0003202149,0.0003771975,0.0002259237,0.0001387417,0.0003777078,0.000193196,0.0003125702,0.0004655111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006824284,"about_ca_system_score_gemma":0.0003061246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00987481,"about_ca_topic_score_gemma":0.008314697,"domain_scores_codex":[0.9999537,0.000007433933,0.000001672569,0.00001153142,0.00001943531,0.000006159944],"domain_scores_gemma":[0.9998873,0.00006585541,0.00001877427,0.000008385496,0.00001503994,0.000004548445],"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":[0.00002766628,0.00001967019,0.001078115,0.00005574439,0.000008607351,0.00007279521,0.00002062843,0.9769257,0.01345928,0.001121896,0.0002630419,0.00694695],"study_design_scores_gemma":[0.000003549069,0.00003607705,0.001058011,0.00000950282,0.000009863161,0.00003323146,0.000006652245,0.9911843,0.006345735,0.0002703976,0.001035413,0.000007222301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8092784,0.00587596,0.1354617,0.0003362298,0.00009145747,0.00008465979,0.001233155,0.001174379,0.04646403],"genre_scores_gemma":[0.9687653,0.002313765,0.01329064,0.0000343875,0.00001725062,0.00004900257,0.0004218987,0.0001835373,0.01492438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00987481,"threshold_uncertainty_score":0.01963466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755125630205616,"score_gpt":0.2127585473221824,"score_spread":0.1952072910201262,"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."}}