{"id":"W7096446742","doi":"","title":"Potential Alternative Backfill Materials in Use in Posiva’s Spent Fuel Repository Concept","year":2009,"lang":"en","type":"article","venue":"","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Work (physics); Spent nuclear fuel; Dispose pattern","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600596,0.0005553036,0.0005725659,0.001708373,0.001545516,0.002914252,0.002114531,0.001656877,0.006197975],"category_scores_gemma":[0.0008578553,0.0003391162,0.0005454555,0.0008829159,0.001166929,0.00335766,0.001662835,0.001045412,0.001020783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724189,"about_ca_system_score_gemma":0.002244933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639056,"about_ca_topic_score_gemma":0.004821686,"domain_scores_codex":[0.9992055,0.0001269559,0.00003012418,0.00009681121,0.0003742101,0.0001663475],"domain_scores_gemma":[0.9997104,0.00005067541,0.00002542352,0.00004447243,0.0001092197,0.00005986526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004699489,0.001446754,0.00678998,0.002048984,0.00007233013,0.004081029,0.00281542,0.009269361,0.6165103,0.1331131,0.006795234,0.212358],"study_design_scores_gemma":[0.0002583923,0.003407178,0.003696777,0.0003241463,0.0001164116,0.002090563,0.002998767,0.008281338,0.821986,0.01237321,0.1443365,0.0001306319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563249,0.002248031,0.03347035,0.001426159,0.0003193212,0.0007122842,0.0007273846,0.0006240343,0.1041476],"genre_scores_gemma":[0.9532698,0.0006577968,0.0216913,0.0001184229,0.00001492872,0.0002087795,0.0002080824,0.00005399555,0.02377696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006197975,"threshold_uncertainty_score":0.02073431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806045755256273,"score_gpt":0.2797721584468358,"score_spread":0.261711700894273,"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."}}