{"id":"W2011975319","doi":"10.1063/1.3498473","title":"Porous Materials Reinforced by Statistically Oriented Fibres","year":2010,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Isotropy; Anisotropy; Materials science; Permeability (electromagnetism); Porosity; Composite material; Tensor (intrinsic definition); Porous medium; Matrix (chemical analysis); Orientation (vector space); Deformation (meteorology); Mechanics; Geometry; Mathematics; Physics; Membrane; 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":[0.0001290401,0.0001726944,0.0001210394,0.0002537293,0.0001411562,0.0002684997,0.0001672553,0.0002064729,0.0002980349],"category_scores_gemma":[0.0002802374,0.0001753138,0.0001714984,0.000114507,0.000386292,0.0002101156,0.0002616566,0.0001953637,0.0001012041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689864,"about_ca_system_score_gemma":0.0001844821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004889218,"about_ca_topic_score_gemma":0.0006892623,"domain_scores_codex":[0.9999167,0.00000926899,0.000004186472,0.0000165524,0.00003641173,0.00001701911],"domain_scores_gemma":[0.9998688,0.00004125583,0.00003962188,0.00001920625,0.00001473724,0.00001642578],"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":[0.00008150325,0.00003525782,0.001027222,0.0001231188,0.00002729046,0.0002693292,0.00007172485,0.06312169,0.9160304,0.01057472,0.000133979,0.008503711],"study_design_scores_gemma":[0.00004044902,0.0003567447,0.009372414,0.00003267138,0.00005724743,0.0005641913,0.00006748182,0.2427283,0.7336858,0.007509796,0.005507586,0.00007736003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496283,0.0003628536,0.04646879,0.00004809572,0.00002760357,0.0000144712,0.00006310064,0.0001382899,0.003248372],"genre_scores_gemma":[0.9931464,0.0001615923,0.005941383,0.00001000736,0.000007145758,0.00001119874,0.00004077912,0.00001027829,0.0006713007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004889218,"threshold_uncertainty_score":0.001226008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006771343244957903,"score_gpt":0.2074872029733869,"score_spread":0.200715859728429,"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."}}