{"id":"W2791177567","doi":"10.1007/s12665-018-7337-2","title":"Thermal–physical properties of selected geomaterials: coal, sandstone and concrete based on basic series and parallel models","year":2018,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Government of Jiangsu Province; Fundamental Research Funds for the Central Universities; University of Alberta","keywords":"Thermal conductivity; Thermal diffusivity; Series (stratigraphy); Matrix (chemical analysis); Thermal; Inverse; Porosity; Materials science; Coal; Mixing (physics); Physical property; Mineralogy; Mathematics; Mechanics; Thermodynamics; Geology; Composite material; Geometry; Chemistry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008671647,0.00009992202,0.0001243504,0.00002939496,0.0001344419,0.00002996248,0.00005785591,0.00002419773,0.00001851785],"category_scores_gemma":[0.000002307565,0.00007608163,0.00001102688,0.00003787025,0.0003336135,0.000186833,0.00003052602,0.00003071871,0.000002569958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003298216,"about_ca_system_score_gemma":0.000006739546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009741899,"about_ca_topic_score_gemma":0.000002146726,"domain_scores_codex":[0.9994413,0.00001535376,0.00009590841,0.0001574281,0.0001465401,0.0001434381],"domain_scores_gemma":[0.9998597,0.000009237624,0.00002074635,0.00006613789,0.000002839836,0.00004134697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003194204,0.000006666328,0.00008144623,0.00001610533,0.000005349269,3.369662e-7,0.0005118301,0.0677897,0.9312742,0.00008283024,0.000002528454,0.0001970778],"study_design_scores_gemma":[0.0001401015,0.00032324,0.0004114195,0.00002300084,0.000003914874,0.000001108958,0.00008719748,0.6532453,0.3456218,0.00004834283,0.00001619397,0.00007840982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989877,0.0001916084,0.0004588015,0.00001758314,0.00004611495,0.00009242302,0.00000900411,0.0000300087,0.0001667923],"genre_scores_gemma":[0.999162,0.00008059231,0.0006743807,0.00002057297,0.00003316146,0.000005772137,0.000001302129,0.000008329042,0.00001391826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5856524,"threshold_uncertainty_score":0.3102519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490780472071397,"score_gpt":0.1842846632632632,"score_spread":0.1693768585425492,"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."}}