{"id":"W4284977192","doi":"10.1139/cgj-2021-0001","title":"Evaluating the thermal performance of unsaturated bentonite–sand–graphite as buffer material for waste repository using an improved prediction model","year":2022,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Thermal conductivity; Electrical resistivity and conductivity; Water content; Bentonite; Porosity; Composite material; Thermal conduction; Graphite; Inflection point; Geotechnical engineering; Mineralogy; Geology","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":[0.0004184661,0.0008227093,0.0005601326,0.0003897686,0.0002789994,0.0006202902,0.0007536375,0.0007491776,0.0007036129],"category_scores_gemma":[0.000609915,0.0003571143,0.000642827,0.0003511324,0.0002037821,0.0007722577,0.0003199729,0.0004872167,0.0002106554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007502911,"about_ca_system_score_gemma":0.0008546836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658121,"about_ca_topic_score_gemma":0.01213083,"domain_scores_codex":[0.9998902,0.00001946073,0.00000680701,0.0000340507,0.00003190961,0.00001752148],"domain_scores_gemma":[0.9998055,0.00009914705,0.00002178487,0.00001213376,0.00005217094,0.000009162937],"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":[0.00008537617,0.00005595455,0.002117279,0.00004323457,0.00001398898,0.00003095882,0.00001580439,0.9807911,0.009623676,0.0002311913,0.00007230284,0.006919096],"study_design_scores_gemma":[0.000002405297,0.00001967884,0.0002210998,0.000001171082,0.000004505542,0.000002385154,0.000002512071,0.9971321,0.002533006,0.00003960851,0.00003859851,0.000002837778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7510428,0.0004996207,0.2429003,0.0001387206,0.00003327409,0.0001193636,0.0002942016,0.0009064165,0.004065381],"genre_scores_gemma":[0.987781,0.0001316922,0.01056657,0.00001037318,0.000002833978,0.00006614012,0.0001487574,0.00002317914,0.001269353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658121,"threshold_uncertainty_score":0.03296942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021997095515904,"score_gpt":0.241868509994168,"score_spread":0.219871414478264,"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."}}