{"id":"W4408283068","doi":"10.1007/s11771-025-5865-y","title":"An improved model for predicting thermal contact resistance at multi-layered rock interface","year":2025,"lang":"en","type":"article","venue":"Journal of Central South University","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Interface (matter); Materials science; Thermal contact conductance; Thermal; Interface model; Geotechnical engineering; Thermal resistance; Resistance (ecology); Composite material; Geology; Computer science; Thermodynamics; Contact angle; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001132683,0.0001082696,0.0001999069,0.00005995424,0.0002309154,0.00001997313,0.00028542,0.00008295022,0.00001276293],"category_scores_gemma":[0.00002058948,0.0001015497,0.0001518127,0.00008572768,0.00001389715,0.0001910754,0.0000374433,0.0001241178,0.000001088172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253277,"about_ca_system_score_gemma":0.00009597133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002111671,"about_ca_topic_score_gemma":0.0006405084,"domain_scores_codex":[0.9992456,0.0000460571,0.0002415661,0.0001388253,0.00008612872,0.0002418113],"domain_scores_gemma":[0.9991899,0.00003475125,0.0003205714,0.000155339,0.0001720415,0.0001273896],"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":[0.001401612,0.0001454427,0.004678559,0.00004094118,0.0001922112,0.000004900023,0.002486145,0.931873,0.05282304,0.005937383,0.0001495281,0.0002672111],"study_design_scores_gemma":[0.003083596,0.00006646172,0.007949285,0.00008358764,0.00009067799,0.00000183385,0.002367782,0.9749843,0.002880917,0.00005152255,0.008292675,0.0001473005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7536959,0.00005594266,0.2449303,0.0001604594,0.0001301351,0.0001241078,0.00005365688,0.00002465602,0.0008248448],"genre_scores_gemma":[0.9880321,0.000003188611,0.002019215,0.00003255322,0.00006137384,4.429866e-7,0.000003329404,0.000009593312,0.009838227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2429111,"threshold_uncertainty_score":0.4141077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400426231125414,"score_gpt":0.2281490424346558,"score_spread":0.2141447801234016,"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."}}