{"id":"W3136006002","doi":"10.18280/rcma.310103","title":"Macro-Scale Numerical Simulation of Moisture Transmission in Zeoli-Based Moisture Conditioning Material","year":2021,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Porous medium; Materials science; Moisture; Tortuosity; Porosity; Diffusion; Water vapor; Microporous material; Composite material; Anisotropy; Chemical engineering; Thermodynamics; Chemistry; Optics; Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001386537,0.0002733005,0.0005039925,0.0001384741,0.0001109477,0.0000712062,0.0001208439,0.0001569731,0.0001473099],"category_scores_gemma":[0.00004845493,0.0002687343,0.0001269285,0.0003875631,0.000101603,0.0002399803,0.00003880886,0.0002196587,0.0000162274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437001,"about_ca_system_score_gemma":0.00002996477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729413,"about_ca_topic_score_gemma":0.00003961159,"domain_scores_codex":[0.9985144,0.0001297536,0.0005594231,0.0002884873,0.0002092755,0.000298625],"domain_scores_gemma":[0.9990068,0.0003507028,0.00009202852,0.0002569605,0.0002090088,0.00008448241],"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":[0.00006696,0.00008237225,0.008257995,0.0009472109,0.00004756126,0.00004854989,0.001095153,0.9371604,0.05091437,0.000145292,0.00003515636,0.001198935],"study_design_scores_gemma":[0.001117921,0.00004520564,0.05304442,0.0006429777,0.00006906237,0.00002659243,0.00009220374,0.8993225,0.04282077,0.0009675907,0.001485231,0.0003655695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5094248,0.001000338,0.4871499,0.00008628095,0.0002360007,0.0002717871,0.00008541258,0.0002697381,0.001475769],"genre_scores_gemma":[0.9466571,0.00006963237,0.05273434,0.00005239651,0.00008593444,0.00001884203,0.0002473869,0.00006196898,0.00007239062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4372323,"threshold_uncertainty_score":0.9999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287090720960584,"score_gpt":0.2779796786843003,"score_spread":0.2492706065882419,"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."}}