{"id":"W4415288584","doi":"10.1139/cgj-2025-0595","title":"A generalized two-step model for predicting thermal conductivity of bentonite-based mixtures in nuclear waste repositories","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Thermal conductivity; Radioactive waste; Mixture theory; Thermal; Matrix (chemical analysis); Universality (dynamical systems); Predictive modelling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000663513,0.0009363212,0.0008007922,0.0006333593,0.0003507797,0.0008803886,0.001683435,0.001411074,0.0007688606],"category_scores_gemma":[0.001171936,0.0005704426,0.001227291,0.0004558405,0.0003474952,0.0008627788,0.0006051721,0.0009645242,0.0001927395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837957,"about_ca_system_score_gemma":0.0009873275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01818532,"about_ca_topic_score_gemma":0.01236851,"domain_scores_codex":[0.9997837,0.00005437854,0.00001516882,0.00006958705,0.00004563403,0.00003154208],"domain_scores_gemma":[0.9996305,0.0002224532,0.00003994178,0.00001805289,0.00007532821,0.00001381684],"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":[0.00003343675,0.00003018705,0.00141211,0.0000259686,0.00002396607,0.00004011189,0.00001456983,0.993086,0.001296779,0.0004088615,0.00007982971,0.003548331],"study_design_scores_gemma":[0.000001602704,0.000007524397,0.0001369712,9.434077e-7,0.000003044126,0.000002650646,0.000001824419,0.9994743,0.0002270886,0.0001113646,0.00002979316,0.000002849146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6019464,0.0007824758,0.3918073,0.0003792369,0.00007242463,0.0001611688,0.0007151682,0.0007018862,0.003433868],"genre_scores_gemma":[0.9789376,0.0002239564,0.017725,0.00005677597,0.00001478823,0.000185456,0.0004141839,0.00002968787,0.00241262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01818532,"threshold_uncertainty_score":0.03615892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647093333879964,"score_gpt":0.2602117864700476,"score_spread":0.2437408531312479,"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."}}