{"id":"W2096498919","doi":"","title":"On the micropolar fluid flow through porous media","year":2009,"lang":"en","type":"article","venue":"International Conference on Mathematical methods, Computational techniques and Intelligent systems","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Porous medium; Compressibility; Mechanics; Isotropy; Porosity; Lubrication; Flow (mathematics); Materials science; Fluid dynamics; Geotechnical engineering; Geology; Physics; Composite material; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954238,0.0006843056,0.0007085098,0.001524299,0.0005724052,0.001039062,0.0005033663,0.0008316308,0.00249459],"category_scores_gemma":[0.001389183,0.0002292032,0.0005157531,0.0006996458,0.001994366,0.001682306,0.0008954582,0.0008800053,0.0004368476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008444581,"about_ca_system_score_gemma":0.0006141014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519682,"about_ca_topic_score_gemma":0.001119306,"domain_scores_codex":[0.9997748,0.0000742012,0.000008712537,0.0000359367,0.00007031784,0.0000361333],"domain_scores_gemma":[0.9996488,0.000160231,0.00003854783,0.00001971419,0.0001017294,0.00003103425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001121993,0.00008908326,0.0003925275,0.0005723159,0.00004703558,0.0005017162,0.0002657104,0.1605091,0.01543134,0.7791931,0.006228867,0.03665721],"study_design_scores_gemma":[0.00005929752,0.0001380803,0.001244792,0.0001434783,0.00003394072,0.0003237737,0.00007088116,0.6537507,0.004087496,0.3213861,0.01868219,0.00007930308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1556699,0.04919956,0.663547,0.007544643,0.002400067,0.0002481811,0.0006114259,0.0003662499,0.120413],"genre_scores_gemma":[0.8663357,0.0421523,0.0317097,0.001371343,0.004343116,0.0002510019,0.0004318257,0.0002374404,0.05316747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003519682,"threshold_uncertainty_score":0.008345306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652771309160186,"score_gpt":0.3619833847354362,"score_spread":0.2967062538194176,"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."}}