{"id":"W2923816689","doi":"","title":"Advances in the microstructure and transport properties of random fibrous materials","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Fiber; Microstructure; Characterization (materials science); Dispersity; Materials science; Range (aeronautics); Work (physics); Material properties; Stochastic process; Stochastic modelling; Field (mathematics); Statistical physics; Geometry; Composite material; Physics; Mathematics; Nanotechnology; Mechanical engineering; Engineering","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":[0.0005721361,0.0002326476,0.000242337,0.0005576283,0.00019047,0.000591092,0.0003443739,0.0005084048,0.001512199],"category_scores_gemma":[0.0009742958,0.0001743203,0.0001936907,0.0003976357,0.0004291314,0.001123216,0.0002628737,0.000310991,0.0003619672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458294,"about_ca_system_score_gemma":0.0001625312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002728298,"about_ca_topic_score_gemma":0.0003238611,"domain_scores_codex":[0.9998527,0.00002408353,0.000007865183,0.00005005814,0.00004612963,0.00001922265],"domain_scores_gemma":[0.999413,0.0002372808,0.00009558407,0.00007521579,0.0001466377,0.00003228721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001928675,0.0001300292,0.001830914,0.0007903957,0.00002886992,0.0002428238,0.0001930136,0.008395379,0.8652141,0.03792418,0.001078326,0.08397903],"study_design_scores_gemma":[0.00003883124,0.0009980403,0.03587666,0.0001549487,0.00008975145,0.001353445,0.0002147503,0.08600057,0.7561695,0.04541443,0.07357713,0.0001118954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425433,0.04637844,0.08011346,0.001390846,0.0003879552,0.00004153069,0.0003771677,0.0002646891,0.0285026],"genre_scores_gemma":[0.960547,0.01316407,0.02049566,0.000135609,0.0003743014,0.00002217718,0.0002195326,0.00004931041,0.004992215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001512199,"threshold_uncertainty_score":0.005058825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407834571703426,"score_gpt":0.2272006754616187,"score_spread":0.2131223297445844,"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."}}