{"id":"W2027868929","doi":"10.4028/www.scientific.net/msf.750.100","title":"Rheological Model for a Nanoporous-Elasto-Hydrodynamic Composite Material","year":2013,"lang":"en","type":"article","venue":"Materials science forum","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Nanoporous; Materials science; Rheology; Isotropy; Composite number; Composite material; Nanopore; Colloid; Mixing (physics); Matrix (chemical analysis); Self-healing hydrogels; Work (physics); Chemical engineering; Nanotechnology; Thermodynamics; Polymer chemistry","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":[0.0001978355,0.0005903671,0.0003695819,0.0004902848,0.0003102805,0.0003975804,0.0009815739,0.001339242,0.002427765],"category_scores_gemma":[0.0003504997,0.0002523741,0.0005339144,0.0001908134,0.0005357889,0.0008268929,0.0004143645,0.0005950207,0.0006664454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689215,"about_ca_system_score_gemma":0.0004142381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009848736,"about_ca_topic_score_gemma":0.000541837,"domain_scores_codex":[0.9998878,0.00002097706,0.000005348326,0.00003082149,0.00003899268,0.00001604127],"domain_scores_gemma":[0.9998964,0.0000383031,0.00002117403,0.00001065444,0.00002120557,0.00001218647],"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":[0.00006937627,0.0001598726,0.0005112884,0.0002314241,0.00002916743,0.0003984771,0.0001154772,0.7948245,0.1343399,0.06265686,0.0008302073,0.005833417],"study_design_scores_gemma":[0.0000152746,0.00003973612,0.0001490139,0.000007532918,0.000006192557,0.000057603,0.00001255336,0.9914654,0.003819575,0.002572147,0.001845394,0.000009582114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1106798,0.001349558,0.8488402,0.00091218,0.0002543179,0.0002180963,0.0004632139,0.0003246931,0.0369578],"genre_scores_gemma":[0.8896002,0.001081934,0.0731442,0.0003190612,0.0001136661,0.0005456029,0.0003087057,0.00011928,0.03476736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002427765,"threshold_uncertainty_score":0.008121669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335155818029104,"score_gpt":0.2372522933023235,"score_spread":0.2239007351220325,"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."}}