{"id":"W4410193367","doi":"10.1016/j.ijthermalsci.2025.109945","title":"The coupling effects of oxide particle microstructural parameters and atmospheric (temperature, pressure, composition) conditions on thermal transport in powder beds","year":2025,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Thermal; Atmospheric pressure; Coupling (piping); Particle (ecology); Oxide; Particle size; Composition (language); Thermodynamics; Mechanics; Atmospheric sciences; Composite material; Chemical engineering; Metallurgy; Meteorology; Physics; Geology","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":[0.0002431616,0.0000747837,0.0001127347,0.00002934026,0.00007066474,0.00004522411,0.0002664292,0.00003083259,0.000005617735],"category_scores_gemma":[0.00001654131,0.00004872205,0.00004877952,0.0001194693,0.0002191208,0.0001687766,0.000007471512,0.0001428018,2.85126e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002046889,"about_ca_system_score_gemma":0.00003270413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001864736,"about_ca_topic_score_gemma":0.00001325311,"domain_scores_codex":[0.9992753,0.00002199213,0.0002670824,0.00006345539,0.0002494019,0.0001227587],"domain_scores_gemma":[0.9995233,0.0003035438,0.00004017773,0.00003878653,0.00006125805,0.00003290282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001080678,0.000044386,0.0344879,0.00003103665,0.0002079387,0.00002879265,0.0005232953,0.2521695,0.7081245,0.001986837,0.00003731242,0.002250524],"study_design_scores_gemma":[0.001109038,0.0001216943,0.6224986,0.0003684514,0.00004815101,0.00002666262,0.00015686,0.0101053,0.3647745,0.0005505726,0.0001250506,0.000115028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975505,0.0008473905,0.00004212255,0.0003847302,0.0008986092,0.00007522844,0.00000463418,0.000007871904,0.0001889195],"genre_scores_gemma":[0.9995856,0.0001017568,0.0001804786,0.00008295537,0.00002982168,0.000003090809,7.408239e-7,0.000003695079,0.00001183083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5880107,"threshold_uncertainty_score":0.1986828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004927693316736689,"score_gpt":0.2416921813162393,"score_spread":0.2367644879995026,"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."}}