{"id":"W4412699920","doi":"10.11159/ffhmt25.153","title":"Determining the Diffusion Coefficient for Articular Cartilage Modelled As Homogeneous and Porous Material","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Silesian University of Technology","keywords":"Articular cartilage; Porosity; Homogeneous; Diffusion; Materials science; Porous medium; Effective diffusion coefficient; Composite material; Osteoarthritis; Thermodynamics; Physics; Medicine","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":[0.0004618281,0.0003324455,0.0003519058,0.0004801663,0.0001615367,0.0004453971,0.0004726674,0.0007333464,0.0007599746],"category_scores_gemma":[0.001179601,0.0002022546,0.0006825636,0.0004211341,0.0003963006,0.0006585282,0.0001959875,0.000436784,0.0002434043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006333038,"about_ca_system_score_gemma":0.0004800297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006797899,"about_ca_topic_score_gemma":0.003868277,"domain_scores_codex":[0.999814,0.00002304795,0.00001324906,0.00006953502,0.00004169259,0.00003853993],"domain_scores_gemma":[0.999429,0.0003839331,0.00005876869,0.00002944529,0.00008728819,0.00001145005],"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":[0.0002390643,0.0001196508,0.004298321,0.0006593206,0.00005635255,0.0004100262,0.0002351934,0.3297949,0.6500396,0.004864533,0.0004828613,0.008800236],"study_design_scores_gemma":[0.00002359311,0.0001697852,0.002462086,0.00002608738,0.00004177739,0.0002007801,0.00009410811,0.8161882,0.1779516,0.001157651,0.001638474,0.00004568839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8568029,0.001996852,0.1358676,0.0002019651,0.00005176397,0.00009477197,0.0008564196,0.0001565376,0.003971276],"genre_scores_gemma":[0.9763408,0.001235827,0.01988853,0.00003251616,0.000006531444,0.00008315909,0.000349364,0.00003479896,0.002028367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006797899,"threshold_uncertainty_score":0.01351666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500862351134115,"score_gpt":0.2462690441319479,"score_spread":0.2312604206206068,"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."}}